' preserveAspectRatio='none' x='110' y='112' width='191' height='292' href='data:image/jpeg%3Bbase64%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%2BgEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoLEQACAQIEBAMEBwUEBAABAncAAQIDEQQFITEGEkFRB2FxEyIygQgUQpGhscEJIzNS8BVictEKFiQ04SXxFxgZGiYnKCkqNTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqCg4SFhoeIiYqSk5SVlpeYmZqio6Slpqeoqaqys7S1tre4ubrCw8TFxsfIycrS09TV1tfY2dri4%2BTl5ufo6ery8/T19vf4%2Bfr/2gAMAwEAAhEDEQA/APq4UFBQAooAcKAFFAC0AKKAFBoAWgB1ACj0oAWgAFAC0AFABQAUAFAAaACgBM0ALQAUAFAFEVYxagQUAOoAdQAooAKAFFACigBwoAZc3ENrC008iog7mmk3sBzV/wCL41cpaRDH95/8K0VPuK5Vi8S3rtnz1A9Ngx/KnyILmtp3iEPhbqMf76f1FS4dgub0UiSxiSNw6t0IrMY6gBBQAUAFABQAUAGaAFoAKAKAqxjqgQUAOoAUUALQAtABQAooACyqpZiFUDJJ7UAeW%2BLvFBvr544WYQoSqD29fqa6YQsiWyjZuJ1HNMk1LGAyhtrAY65obKJt72r4buaW4G14c1hILjy2f905wwPY%2BtRKNxpnZGsRhQAUAFABQAUAFAAKAFoAoCrGOFQIWgAFADhQAvSgBaACgAoA5r4namdM8JTurFXnZYFP1yT/AOOg1pTV5Ck7I8UkvFkl3E445GetdJibnh9pzn5cemeDSZSOlsrgxowZTyM/Wk0WVtXvJFjRih2n3oSEyG1vVxvU9ueeaLBc9S8M3n27RLefcSwXaxPqOK55q0ilsadQMKAG0AKKAFoAKACgAoAoirGKKgQtACigB9ABQAooAKACgDzr49zFfDVnDnAe6zn3CN/ia1pbsmWx846r4hvLS9MFgqNKBzK5%2BVB/jWrlbYyF0/xT4ssr5Jpr6GSI87F9Pypa9R3PRrLxXqk3h6W%2BSIO2OW7KMVoO7OIv/HPi%2B4nje0ltwqD7j/KCKzu%2Bgrmx4b8YTX96trfwC3uSPvJ9yT/69UnfQLn0T8MJC/hoqesc7KfyB/rWNX4jWOx09ZDA0AFABQAUALmgAFABQBRz3qxi0AOqBCigBRQAo5oAUUAKKACgD5s%2BIuveItS8UX1jqdxm0tL2VIrfbgJt3BSP%2BA9%2B%2Ba6YpJXRlJts86v/AA3f6gd1qsjEnLbCF/U0OLYkaGieETYRm41C3lgj3ZLSzkgnn1P9KajYR6j4V0OFfBTWu/KzEucjj6fSnsaJaHnPiXwFficz6f8AaJV54trgoVP4dfxpOPYiw/w34V1GxZbjUfMjct8iuvI/EACmkFj2L4Z6xra%2BKLbSIYgNOl3yTuw64jA4/EL%2BtRUStcqLd7Hrtc5oFABQAUAFABQAUAFAFEVYxwoAXNADqgQCgBaAHUAFAC0AeBfG62MPj1nEexJ4llLY4YlNn/stdFPYyluc3o2qw28pjYjCkZx2FaiTMzxj4itLixN8l2NsEoEcP97H3jipbVrg9TR8L/FnSIvCgjKXAn5XyduCfT2/Gp5k9Rp2ViFfFXnW51qyvkgu4xl7LOQyDtnHUVV7oV%2Bp09r4ltNb06OeM7g4BPse4podz0H4RxRTXFzdqp3RKUJzxlsdPwX9azqvSxcT0aucoKACgAoAKACgAoAKAKNWMUGgBRQA6oEFAC5oAWgAoAQuBQB5p8c9Bk1DRzrsE%2BHsIv3kRXO9N3UHPGMk/StqcraEzV9TxHTTaXN4sNw5VZl2kg456VqZHIv4b1K1v5BKguwXOVMmzAz2JB4xjtUcruB1WgeDkuIWP9gXIITJZb2FfmGMfej6dehzTcfIaMvWvCWoFmSxtpLTkjDziRjx7KBTcX0EbXhWOHStIs4nc%2Ba0YaTnv3px0QH0J8GbCaHw82pSNhL1t0ac5wCRk/Wsaru7GkNjvBWRYhoASgBRQACgAzQAZoAWgCjVjAGgBQaAFFADqgQtACFqAI5JAtWMqyz4707CuZmteRd6VeW126pbywOkrE8BSpBP5VSEz4%2BnaWC4YAndG3B5HINUYnReG/EdhrqNBdzJDdocEt3xxn/PpVqSYF2w0qwdfNXX7mGLfg7Twe/rxxRYDUvrzSvDvhyS/iuWueojLtli%2BP06UN2QHIWl1JrGqW/lfJ9pdFA5wu4j/Gle4H2ToMVrb6JZQWLq9rHAiwspyGUKMH8q53u7m6LuakAFAAaADNABmgAoAKACgCjVjFzQAoNACg0ALmgAzQAyR8d6AMjW9a0vSYvN1PU7OxTGd1xMsYP5mmkS2ea%2BJfjj4C0xmSLUJ9SkHG20hJGfq20H8CaoXMjyD4o/HG%2B8SaJc6Poti2m2k6lJ5Xk3SyqRygwAFB79SfzobE3cl8b6Y8Ep1FU/cSnDMOit7%2Bx/n9a1kupmea6po99bX0l/ps2Q3Jjzgj1xWLTWqLuZ0Wr%2BIzhFsrnbu7KeaV5Csjdsk1C/tkGpu6pnBjY/r7Vau9yT0v4W6I%2Bq69DNHHtsbAiWaTHGV5RB9SB%2BANUNK7Ol%2BE3xssPDwu/D/icS/YYLqb7LdRLvMamQnaw6leTgjkdMYxjJq5adtz3fwz4x8LeJo1bQtdsb4sM%2BWkmJBxnlDhh%2BIqLMpO5u5pDDNACigAoAKAAUALmgChmrGITQAoY0AKKAOB%2BLfxU0T4dpbRXkEt9fXSl47aJgpCjI3MT0BPA4PQ%2BlLlJbseGeJv2lPFd5vTRrGw0pDna23zpB17t8v/jtVoTzM8/1r4oeOdYLfbfFGpMjdUimMSH/AICmBRcV2crc301xI0k0zyO3JZmJJPvRcCCCWJpWQOBIOoPBx6j1FMAlcNLHGnOWGTQB9Z2unQanpX2eZFeORNrK3IIIrdiPJ/GPhK/8MXXzK8mnSt%2B4m64/2W9CP1rNqwNGIY8DO4AfWgk0PDHhvUPEerQ2drGxVzyx4VV7sfYUWGtT31rLT/CPhM2Nmu2OGMu7n7znGWY%2B/H9KaL2R8gSzPM7yt99yWP1JyazENhnmgkWSGRkZSCCpwQaAPRPB/wAa/Hvh9UiTWHv7dMDyb4ecMDtuPzAewNLQd2j1nwv%2B0xYylIvEfh%2BWA9GmspA4z/uNjH/fRpco%2BbueweEPHXhPxZEraFrdrcyEZMBbZKPqjYb8QMe9FmhppnSVAxc0AAoAWgDPzVjCgQZoAZcTx28Ek88ixxRqXdmPCqBkk0AfBfxb8WS%2BNPG19rjb1hlcJbIescK8IPrjk%2B5NUQ9TknUBeT0qRDYyD3zQAjPgkmgCVkUqGKjI6HHNUBHG2LpM/wB8fzqQPqC48SHS/DdtJbFfttwgSHdyFIHLEeg4/EiuhivZHMaRIV1iW%2B8Tm8u0mt2R%2BQTzjBIPBUEfQe3SpsL1HTeGrVYDqlnGbm2Z8RoCSiNgEqxHOBnj%2BfrVkINL8VeIfD1/52nQwGBcCS3FvtRlz3YgNn3zn61Mhp2Ox%2BIHiG31X4d3eq2rbVltXXaTzG3QqfcGjZMbdz5iboPasxjQoL7iTu6Z9PpQAD79ADt3NAEkU8sEgeF2RhyCD0NAH1B%2Byb8QtQ1w6h4Y1zUpbyeFBPZPO5ZygO103HkgfKQPr2qX3KT6H0DUFBQAuaAM8VYwoEGaAON%2BNmpDS/hN4luiwXdYvAD7y4jH/odCE9j4Nmf5Tz0x/MUECStkAYoARDge1AA6ZBHqKAHxtuhVh1xQAyP/AI%2Bo8jI3D8eaAPrnRfAiWrW9xfMLtoV2KnVQoJ5%2BtdFxcpvajoelXUP7%2B1AXHzKBtZf9pCOh9u9FymkXPDeiHStGS1tpAIcly20DJbnkD2x%2BVS2hpWRzHjPwnc6wzfY52j3fe3JjdTvoQ1c828XeH9f8N%2BDNWtLuDdYyASLKrghW4B9xkY/Kk9Ews0eOtyKzGRjIzmgB2O9AAuKADoCxOAKAN/4VeIZfDXjbRtbRyggukeXnrGxw6/irEUkGzP0FrM0HCgAoAoGrGJQIDxQM8Z/a81MWfwxhsFbD318ilfVEDMf1CVREtj4%2BuPuvggfKf5GpJF/HrQAq9KAHAjJoASH5VdR2Y/40AMhP%2BloCf4h3oA%2B/7Yq8SuOhUGrKItSjjbT7gOoJ8tuo9qaBmiXmS2NrC4SIkZG30/8A1CloUVvLfGWYGgk8y/aMm8j4c3CA/NJNGnPfLU3sKR8vGpENFADTQACgCvflvJKqcEjH4mkwHWrqJjjGE4H8qYH6OeHr1dS0DTtRRgy3VrHMCOhDKD/WoluaLcvipAcDQBn1YwoAaaoR8t/tm6ytx4j0jRI2yLO2aWQA9GlI4P4Ip/Gl0IlufPkhIjbd6HH5UhChsjPegBwNAD1680AMdsSsM/fQY/A8/wAxQAyzH%2Bkp35oA%2B%2BfDzGTQ7GRuS1vGfzUVZSLd38tnMwAOEPH4UAWnGTQURkDGKAPGP2p5vL8K6dbkjM150z6KTQ9iJHzlyQaQhpNADc0ANLAUAU7p8uvswOPpz/SpAbA3lgZPLHP1oA%2B5/wBmXXP7Z%2BEmnKzFpbB3tHJ/2TuX/wAdZR%2BFKRa2PTQakY6gDPJzVjEz1qhDGcAUAfBvxg1ttf8AiFrOps29JLpxEc/8s1O1P/HVFJkbnGT58lz3AzikIihf9ynuB29qAJkbtQBKhoAZccbH4GGx%2BY/xxQAW3Fyp96APu/wRN9p8HaJdYx52nwSEemY1NWUjUu2AgwejMq/mQKCi5LFNHapcMn7tzgEHvz/gaXWwFcHI6GmB8%2B/tYXga/wBEsVbkJLKw9OVA/rTlsiJHhoOBmpERqG2AHrjnFAEchK/xD8TQBA8nGFIzUgVnOXJHJVePr0/rQBE8c4cM5P8ASgD6n/Yn1pXXxBoTv8wWG6jX8Nrn9UoexSPpYVBQtAFA1qBHI%2BKAOf8AGWr/ANk%2BGtU1PcF%2ByWcswOe6oSP1AppCZ8D3bF23nPIpEFO5I8l8/wB01IFS1bdaxt1yoP6UAToQKAJ0YYoAW6GYHx1AyPqKAFtdrOjA5BHBoA%2B2fhBcG5%2BGWgSM2StmkfH%2Bz8o/lVlLY6a7XzIQB2kQn8HBoAnwqj5e/X3oKGsQBk0AfK37SOore/Eh4o33Ja2iR9eM5Yn%2BY/KkzLqeZH0oGNbAToMn2oApyjP8WBUgVnIQ8Nn8aAIiS6MEzxg8UASwqZwFL/OPu%2B/tQB7H%2ByTqp074tWdtI2xb63ltjzgfd3AfiyL%2BlBS3PtUUFjqgRnu2BWoFSd8ZpoDx79p3WHsfh6bCKTa%2Bo3KQtjj92uXb9VUfjSexLPk64OZdo6KBUklDVn22UgzglTQwKGkvu06H2XH5VKGy/GflqhE8eAKAJsZjI9RQBFpLBodn8UTbT9O1CA%2Buf2fL8r8N9JR23JumjJ/unzXIH5EVqldDR6JqG%2BEpJG3ys6Kw%2BrDmhDFlmcYosBSunvJI2BO1T6dqpWA%2BQPiPci78d6zNuzi5aPP%2B58v9Kye5JzgI27vWgBkzAc5oAoTSdlJFSBUdgAeRQA2zkZ1lwRjOOntQBPboxQEMQVoA7H4War/Z/j/QdSDbWhv4TIAcZAcZ/MZH400B%2BhANI1H1AjLlNagUrlsA800B8yftY60reIdM0kNlbS2MrD/bkPT8FQfnSZDPCkYsWYnknJqRGTrkgNu6jmlIaKGhS/6LsOflJpIGbERPAxntVCLCHIzQBai%2B6Qc0AUrSQQasyE4Wb5fx6j/PvR1A%2BsP2av8ATfhjc274zb6jIiY642I2fzY1pF2Gtj0xJfNtY4Zf9YsqD64YU2Muy28iMpZHCtyrFcA/T1o5gKetTR2ek3VzIwRY4mYsT0wKSBnw5qFw11dzTsSXuJWdufU5P86h6kkZHGBxTAp3MoDnOeKkDPeQFuvWgCvctgZ9KQDNHY7Jc9d1JDZowN5eQaoQtmHS8WeF/nRs4z19qAP0g8I6muteF9K1dM4vLOKfnsWQEj9aUi0awNMoyZWqxFG5PJoA%2BKPjhqqa78Tdbu4z%2B4juPs8ZzkHygEJH1Kk/jUvcjqcLPKkERPOT0HrSEYmouXR1IHTJPYUgKGhv%2B9deTzmkhs6KHGBiqEWYz270AWYvu0AZmsoVcSrwRjB9KGB9Qfsg36XXh/WYwfnE0UhX0ypH81P5VS2Gj2O6UreJGG272BH4A5rSIzQea4aJI3maRUGFBA%2BUf59aixR578cL6Sz8EalIshX9wUGD/EwwP1q9kyJHyJbPvdpM8dF%2BlZiJ%2B1AGTd/6xvapApnls5oAr3zjbSAj0KZTJKF7Gkhs1zjeMYx9aoRHYx5uXnMhAXsPahAfd/7NWq/2n8JNMRseZZPJavg/3WyP/HWWmy47HpgJFIoyJTViMDxZqQ0nw/qWqED/AEO1lnAPcqhIH6UEs%2BDtQkkZ2JJd2JZiTySTk1LJKBgH%2Bsl5wKQGZq8iraTHjJGBUsaMbQ0f7Qz7SU4BPYHt/I/lQtxs6WDoM1RJYjPPTnNAFqFsLxg0AV9QjDxH6UMD2r9jq/Fte67aMSC3kuB/sguD%2BrVdPZoaPpTUFDS2jgfdlJz7FGqkMmJ5GTUgeLftR6v5fgpLMdbq5SMe%2BPm/9lqpaREz5xiwpCCoETdiDQBk3ePMbvzUgU8Enpn8aAKd8Oc5xzUsaKPh9ibtvw5oQM6La5GAaoRZtbd0jI4G4c5oA%2Brv2KdV%2B1eENa04uC1vdxylf99Nufx8un0KifQINIsxpTwfpViPOvj1fxWPwt1t5JEQzRLAgLYLF3UED1OMnHsaGS9j4sutSso3YvKM56Lyf0qLkmZeazH0WCcqP9jFTcdjG1C9FwNgDJz90ikM9s%2BI3hTRvC/wS8Ivpab5dSuI7u4uWHzyM0JOPYDOAPatZJKKsSebRjgHFSBOnFAFmHBXtQAsgDKc%2BlAHo37MMjWvxGnt3jIF1YSKp7EqyNn9P1qoaMaPq%2BBvNgVD96Nsj6YI/rTGPkVidvTNAHzf%2B1fciPU9Fst3yR%2BbIw98KB/M057IT3PFtPDSlpzkA9KzEXGIAqgMi6OXPNSBWxgHNAEMdlJqOpWthAcPdzLCpz0LEAGla%2BgzG0xJbXUHhnjaOWNyjqwwVI4IPuKQ2dfbgNGDjORVEk1y%2BLVwvDbcD8aAPX/2LdQurH4mXemlmNvfae4K9gyFWDfluH/AqEVHc%2ByAeKCzEmPBqxHxl%2B1Dq2o%2BIfiZd6TLcSjS9L2xRQg4UuVDO2O7EkjPoBUy1ZDZ57HY2exT9miJXgfKKVhEU1lZBWZolA%2BlFgM2x8PT%2BKPFGnaFoVrme5fYoC4CjqWb2AyT9Km13ZDPfv2l9Mj0H4Z%2BENBjbelnMsIbH3hHCVz%2BtbT0SQjwmHGBWYE68e1AE0Lds0ATYyMUAdl%2Bz7cXP/C3dHjYhEEc8eAc7v3THP5qOKuG40fYJVfKimGQ6MOQeoPHPr1oGW7y7ikSJYrURMi/OwbO/pz/ADppeYHyf%2B1MS3jS0V28xfJY8%2B%2BP8/hRVF1PNLNdsfU46AelSIlccUAZd2cSGpArSZxxQBpfD6MP8QvDyN/FqUII/wCBiiPxIZpftMaRHovxQnurazFvFfW63JIPyySEkOwx0ORz75PenUVmCOH0rXbhmWFLRpWJxhT2qEwsbTaishMEtjdJIw/hTcP0qriPWv2UNa0Ky%2BLFql7qUds728sMHnfL5krYATnoTzj1OBQho%2B2V6Gg0MO5birEfE/xsaQ/FDX0k5IvGI%2BnGP0xUvchnKIPkGO1MRXupEVGVjswM7j0xUga/wL1hrP4y%2BHl0z9550zQTDH3kdSG/Ic/hTi9dBnqX7YsrBfC9uD8rPdOw%2BnlAH9TTqdAZ4PEOBipETDpQAA7X60AWYnBXrQB3HwKU/wDC0tMlHSMTMfoYnH9aqHxAz62V/wDQ1JyRuUqR67hWvUokaTDA%2BlAHyz%2B01Os/xBg2Z2i1Bxjvub/Conuiep55FgRj0qQGSPwaAM655YkVIEDYycYoAueD52tvHOgSLyRqUGP%2B/gFEd0M7H9sKN/8AhPNJ67H0xQPTiWQn%2BYqqu6BHnGhW6QKGUfMR1rNAzdESJDkkguME98VQiGHS5NTv7WCyi/fC4RVCnDEk8YP1xRa4z9KotyxqGO5goBPqaDQwbg1Yj43/AGh0EPxg1oIBtYwueO5hjJ/Wpe5DOF34XIBA%2BmRTEZ2qBJkH2iQRw5yx6ZAqWB6J%2BypplnqnxSe7t7dTb6XZvLvx/GxCr%2BhanHcDW/a5vRN490mwU/8AHtp/mN7F5G4/JBTnuhs8hTrUiLEf3eTwKACReBQAkbHNAHpP7Pce/wAe78/6q1kY/mo/rWlPcGfUNpPusWiJOVdCv/fQq3uBYMzK/BAIoKPmP9pRt/xCWQ4P%2BjKD%2BZqJ7onqeZmQkYzWYEbNye1AFabkk0AVn4Of0oAjs7oWes2V9kf6PcJL/wB8sD/Sp2aYz1b9sK60%2BbW/DkEDFr0WkskuOgidl2fqr1pV3A8v0ob4VjRNxHU%2BlShGtKBtALYCr1FAHoX7MGiprvxW01pIy8FkWu5R/uDKn/vvZTQ0fcANI0OdlOTViPj39ojafjDrXOf9R/6ISpe5DOBaTyUAAZmPYUhHO65biSb7SxfzOpRvT2FSxo%2Bk/wBjDQfsvhTV9fkTD310IIz6pGP/AIpj%2BVbU1pcZ5V8bdUXxH8VNavPMOy2m%2ByQlMfdi%2BX8QWDH8aiWrJORZDGAd6kEgdOeaQE6D5e5oAk2jGKAImQqRzwaAPT/2d1B8R39xzlbcID6bmB/9lrSluwZ9BLO9uiz8NGCof5ucbhWwGpqn2eO1tb%2BDUFdZzteNMbk9M81C3asN9z5n/aGKjxZC8chcNEeT9f8A69RU3EjzJHJPWswJQMjnIzQBBKABnrQBWKM4yq5IHrQBSubdwrbnTnr1pAavjyefU/Gk1xd3LT5tbURsTn5fs8eMfnRLVj6EmmJGYDCVKHOcg9aaESXKiGLy2k2qxwGNAHvn7EUBg8T%2BIRJGu4WabH9AXGR%2BPH5UIqO59WDpQWc7JwasR8X/ABxmMnxX19UXdi625%2BiqMVL3IZxskk8Z%2BS3LNjoCMfiTSEZGpwX95JvnURbFJ4IwPah3GfXP7Md9b3vwZ0%2BKzjWCW2kmgkyMgyBid2OM5BB/OrWw0fL3jCxfwz4x1LQdRulnu7WbEs4B2yEgNnn696h6OwjJvJ0ea1jjcMTJuO3njH/16BF8dBmgBRQA5HSN1eTOwHk4zj3oA9U%2BBIBXU72NCFlmRAcYB2gn8PvVrT6sTPaJYp7ixSZAdqspfuCAwrUCQuTCsRI2r29KAPAvj5ERr9puPysrDKj3Gf51jV3Q0ecQR7Dljnj9azAkB6igCC56%2B1AFOVijL6Z/oaAILpwVPIPrSA0PE8MLXmnXNpcrO0%2BlWpmjDcxOsYj2/kit/wACofQY%2B0lnfJFmyL0LOwA%2BvrTEW5LqNQMruVeuR1oA%2Bq/2PfDptPCV54nmXD6nJ5UA9IoyQT%2BLZ/75FPoVFdT3delIs51utWQfG/xzVY/irrioMA3AY%2B5Kqal7iZyO4GmIwfEjyNtjWTYvVgO9RIaPrb9luxWy%2BDumMVw9xLNM3vlyB%2BgFar4UNHzP8aZPtfxb8TyDnGoSR4x/dO3%2BlZy3YjnbWJU2nHPXpQI0l%2B6O1ACnpzQAwnb7mgD2L4ObIPDqllx5szvnPuB/7LW1PYl7nqEF5MtnIi3KonXbszvOent9a0GLLdEJx%2BeKAPDfjJulurWZsgKzjnoM7f8ACsanQEeel/esxjo8npmgAmAAyaAM%2B7VXOwkgnoQOhpAZu5rS9huGVbhY5UYxSfdkAIO0%2Bx6UAOtJTJLLcGNYzLI0mxRhUBP3QOwFAHWRAx26KeDtGasClc/PIo45NSB%2Bgnww0mPQ/h9oWlou0wWUW/jq5UFj%2BJJNNlrY6YdKRRzzdasR8Z/HBxL8V9fcH7t1t/JQP6VL3IZyA5cD2zTEYmuoGvEJPCjp/WokNH3H8KNN/sn4beH7EqA0dlHv4/iIyf51qnYaPjf4mLn4meJ3yOdYu%2B3/AE1as3uyTGQcigC8vTHagAIoATnOBz7UAetfD8tHotpAg52bgCf7xJ/rW8NiXud4j3kNm8hVVj2kMZHxj6e9WIvait1aaRbXssDiC4zslVlI49QDkUrgeO/Fd/tGnRyA7ik3UehB/wDrVlU2KR5pg9s1mMsQqwH/ANagB83K/SgDMuSofnqKQGXqpIWIA4zIKTGjTjtwbtFA4lYP%2BHU/1qhG9KRtyelUBY8Gad/bnjbR9JVNy3V5FEw/2SwyfpjNStwP0OhAVFUdAMVRoTUAc/jmmB8SfE6VZ/iR4ilDbgdSuMH2EhAqXuZowIh1J9KYGVJbHUNdtbKM8z3EcGB/tMB/Wptd2GfftlCtvZwQLwIo1UD6DFWM%2BFPiDMtz4/8AENzGMJLqly659DITUPcRkQj5gwoEXUH%2BTQA7GM5/WgBjcHJxgd6AG%2BH/AB5e2zRRP9nuIVAXY4MTkemclePXihTaHY77TvGl/e2CSLYXUscWUzw%2B3vx6naQM1opvsTYNb8e6immCO307VH2nKwSEqg9emQKHPyFY4XVfGsuqyR2Ulg1uJGAbMmcHtxiocrlWsQRKWbp14NIC0OB0oAbKMrg0AZlwAZM8YBoAxNTYG8jQZ4GTn/PtSA6fR1EsMEjg74gUz9en9aaAt3z4QhTzjpQB6H%2BytpTan8YLKZ49yWMMtycj0G0fqwpoaPtlaZZIKkZg1Yj4pbw3rGu6jdakgtLdLq5lcG6u44TnewPysQ3BBHTtS5W9TM0LX4a6vKh8vV9ALdkF9z%2BeMfrRysLkHgnwRqum/F7QE1e0imtDehmlgmSVMgErypOMEDqKFFqSA%2Bv2HNMo%2BANYkM%2Bq3M5P%2BtkZ%2Bvqc1D3JII8Y7D60AW0JxwKAAkk4zQBDdqzWsoQjcykL7E9KAOXk0a7iTzNm4f59Kmw7nS6Zeapo3gm1utMvdSs7o6g7B7UsvRQMM6sCPYYOefSq15Q6ksnxH8ZXtkYL3xDqlzCRtMb6jOBg89A4FLmYWOQvLtheLOFjQhwxC5J4OeScn9akZ2cJUrkHKkZGKsklzkZzxQBG5JB/woAz7sYJzx%2BlAGDeoZdRGCQxwFyOtIDr7QC305S5wwI3E9BzTAtazp99blmeAtGB99OQKbTA9/8A2J9Jwmva66cHy7aNvzZv5rTWxSPphaCh4PFAGC3JpgePfFK2tbzxk5EKZhgRHKqAWY5bk/Q1cVoZS3J9EhEduhhiVFI7cYrQSJdYVra8triDC3ER3o%2BM8jpn1oG9DttM1OPUdGXUB%2B7yh8xf7jD7w/T8qz2LTuj4OnJLggjpmsSRvHHFAFhOVoAdxjNAEF3hlVSepyR7D/6%2BKAJIRMBmN1lXurdaAIGkurKZLnS572zuxID/AKNOYn4PZhg%2BvSgDN1i11G%2BuJLy9UySufnaWVpZD35Jzz%2BNS7sZkXVqYyf3ToP8AaH/16QzotKn83ToWB6LtPPccf0qoiZeVyeCaYh2TjqSaAKd6MAnIx39qAKNzamK/t3PJ2rx6HvSA2tU/49YoMcuRTYH1F8L/AIc%2BHPEGhte65ZyXMglKRFbiSPauB/dIz1rVocVc9g8E%2BFdD8Jaa%2BnaBZm1tpJTM6mVpCznGWJYkk8DvUspKx0S0hj6AMJqYHi/iS58zxff5bcrTvEef7pAH8sVrExe5q2BVYUCHhTk/5%2BtUMo%2BMr4IkcgzklQSPcj%2BppbCZUsvE72HhXxS82AkVhJNED/z0K7B%2BZK1MtrlRe58sMc4PesAHJ780ASRt8tAC9%2BD%2BNAGZq7XH2iOSAsBGOeODn1/IVLGi5ptzFdDJ/dygc4NUhF3e25BIBkNw3rwaAHykBWGRkigDlNfDSTEIG2qcE9qljRL4bkKQy27HOG3AZ9ev8hQgZrBx2OaoRIknAyeaAIr8KbYn1ODQwLc1ust7CxHGAaAIZ5RPqyLn5FbFHUD7w%2BGVibLwnYxFcMybyD7nNayKjsdnFwKgonSgB1AGE2aYHg3jiP8AsnxfeWd0flmlMyORwUclh%2BuR%2BFapmL0ZDDr4iufszyKVPG4HIbHT8adxFldPl8TzSWyTsgSJpVAb7zKMqPzxUsa1MPX9NfXrQ6DYzKlxqMBijy2Fdhh1BOOhZFH405K6sCPBtSsbzTbyWw1C3kt7qF9ksUgwysOornKIFIzQA9MDt%2BFADs9%2BfxoAoJeBZGaQAoxyO3Hb9KQD/Jt3YSwvsf2PWmBZW4KoFkYE7hQA4Mp3tu%2Bbnr6UAUr1oXiJYAZGSaQGPDLFb3yFXOC20ntg0Aacs4j6nFADRerz6UAEl0skRTOO9AG756rYRzAZfaFUe9MC38MfDlz4u8b2WjwEgPJmaQfwqOWNEVdjPvzTYBDBHGowqKFH4CrLNNOlICVelAD6AMNulMDzr40%2BGm1PRhrVtxc2EZ8wBcl4s5P/AHzyfxNNESV9TxSX99am4jYeZFgsoPUeoqzM67wTrkVtJb3CEeZEcsO7r3GPcGmtUNOx0U/hqW21%2By1HRoRcw/aFkguEIKpHnO089umfQ/WkO2uhzn7TPgS3v9Kl8aWGI72zVReIB/r48hQ3%2B8uR/wABHtUTj1KZ844yKzELkcjOTQBDqEvl2rAcu/yj%2Bv6UAUd6lMOOPekBBIqA7lkKfjQBE1y6dZQ2CD%2BtAD/tbuSqMcfligCrPNMwX94cAcUAUptzdTUlGlbO11CB/Go%2Bf8O9USNdGU%2BgoAhZmHHPpUlFuG7MFqY8u0jcDn7o9qok%2Bk/2NtLg/tTWL14gZ7e3iRX9N5bcP/HRVw2Gtz6mthhRTZZbSkA8elAEgPFAGExpkjJFV42R1DKwIII4IoA8w8S/CuyZmuPDs/2OQk7oJSWjIPYHqP1poTj2OEHwz8ZW12kMIgRd3%2BtSXKgflmnYnlZ33gvw14i0TVEluLq1Nsy7ZlTOX9MjpnPemCTRuePbI6l4J1ywVdzz6fOiD/aMZx%2BuKHsWz4UknniA8tgQeqkZrAkFvSThojn2NK47ETM8zl5cDsMdAPamIYbQMTiQdfpQBDJYz5yrIfbP/wBalYdyncW1wqNvVcAHkMKQxIIpGy5U7fUGgBWSRgMKQB0zxQAwwE9XQe2c0ALFGsTCQTEEenFAEzXOUxw/viqJICWclsYGc8dqkoms0829jXlsEHHrVEn1P%2BxdKJpPE%2B3lV%2BzYb1z5v%2BFXHYaPpuHpTLLKHFIB1AD80AYjdaYDG6UEkTnmgCFjnnvQBA/StAIJORzzQB8D%2BJIUttd1C2iG2OO6lRR6AMwH8qwe5JnwqrKpIGeen1pATxOySYHPGeaALDTNuxhcZ9KYEMtwwRm8uMkE9qVwOe1a7llIjOAvtUlENm7FeWPHTmgCUszZy7dfWgAjUHrk/jQBditYSpYrk1RIkoCqwUYAFAFdTyR9akolsyVSWQfeCcH0qiT6r/YdjT/hH/EEuPnN1CpPsEJ/qaqGxSPpiLiqKJxSAdQAo70AAP/Z'/%3E%0A%3C/svg%3E)
Syed Waqas Hamdani
Software Engineer
Contact information
Location: Mississauga, Ontario
Phone: +1-226-868-7373
Email: shamdan4@uwo.ca
Industry lines
- Technology and Communications
- Insurance/Wealth Management/Mortgage
- Oil, Gas, and Energy
- Banking & Finance
- Manufacturing
Technical Skills
- Goal Model Driven Software Engineering
- Large-scale Software Systems
- Monitoring & Root Cause Analysis
- Cyber-Physical Systems
- System Integration & Interoperability
- Intelligent Systems
- Java, Python, C, C++, SQL
- Kubernetes, Docker, OpenShift
- Microservices Design & Development
- DevSecOps & CI / CD
- IBM Cognos & IBM DB2
- Cloud & Big Data Analytics
- AI & ML
Education
- Ph.D. Computer Science (Candidate)
- MSc. Computer Science
- BSc. (Hons) Specialization Computer
Science
- B.A. Liberal Studies
Certification(s)
- CISSP (Candidate)
- LPIC-1
- BigID Fundamentals
- IBM Cloud DevSecOps Specialty (Candidate)
Professional Experience Summary
Syed is a distinguished Software Engineer and Senior Technology Consultant
with over 10 years of experience in Software Engineering and Cybersecurity.
Holding advanced degrees in Computer Science from the University of
Western Ontario and a Bachelor of Arts in Liberal Studies from the University
of Waterloo, Syed has over 10+ years of experience designing enterprise
architecture and implementing large-scale software systems, demonstrating a
deep understanding of the entire software development lifecycle. His
proficiency in programming languages such as Java, Python, C, and C++ is
complemented by his experience with cloud and big data technologies,
including MS Azure, AWS Cloud, Apache Hadoop, Apache Spark, NoSQL DBs,
etc. Syed's tenure at IBM showcases his deep commitment to advancing
software engineering and cybersecurity fields. He is an IBM Cognos 10.2
Specialist, has experience with IBM DB2, and is working towards IBM Cloud &
Watson.ai certifications.
As a Senior Software Engineer, Syed's professional journey is marked by a
strong foundation in software engineering principles, including coding
standards, source code management, and agile development practices. He
led the implementation of cloud-native software solutions using
microservices architecture, enhancing scalability, reliability, and performance.
His experience with DevSecOps and CI/CD pipelines ensures that he is well-
versed in integrating security into the software development process, an
increasingly valuable skill in today's technology landscape. His knowledge of
containerization technologies like Kubernetes and Red Hat OpenShift further
illustrates his capability to deploy and manage modern, cloud-native
applications.
In summary, Syed’s extensive professional experience in software engineering
and cybersecurity, combined with his leadership in managing technical teams
and projects, makes him exceptionally suited for a software engineering role
in which he can leverage his comprehensive skill set to drive innovation and
excellence in high-quality software solutions.
Work Experience
Software Engineering Researcher September 2024 – Present
IBM, Canada
Senior Cybersecurity Consultant November 2022 – May 2024
Ernst & Young (EY), Canada
Software Engineering Researcher May 2021 – November 2022
IBM, Canada
Software Developer May 2014 - August 2014
IBM, Canada