Candidate Information | Title | Machine Learning Data Visualization | Target Location | US-NY-Manhattan | Email | Available with paid plan | | 20,000+ Fresh Resumes Monthly | |
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| | Click here or scroll down to respond to this candidate@codingthoughtsEMAIL AVAILABLEMachine LearningGeneral AIPythonGen AISQLData VisualizationDjangoPyTorchTensorFlowHuggingFaceLLMsNeural NetworksTableauExcelS3Bachelors in ComputerScienceBRAC University2014 - 2019EDUCATIONEXPERTISEABOUT MEI am a dedicated AI engineer with three years of industry experience, specializing in collaborative problem-solving and innovation. I thrive in dynamic team environments, leveraging my expertise to drive impactful solutions in Artificial Intelligence.WORK EXPERIENCESADIA ANJUMA I E n g i n e e rPreprocessed and analyzed data, develop features, and assessed model performance.Demonstrated leadership in taking charge of releasing the product in both Australian and US market.Collaborated with diverse teams to grasp company requirements and devise AI/ML solutions, integrating models into production systems. Maintained and monitored deployed models, ensuring accuracy and scalability.Created efficient pipelines to enhance product throughput and efficacy. Lead technical projects with significant business impact. Developed demos, documentation, and provide training to stakeholders. Apply ML/AI research to innovate and improve products, processes, or technologies.Stayed on top of the latest advancements in machine learning and related fields through engagement with in-house researchers from esteemed institutions like UC-Berkeley.AI/ Machine Learning EngineerNov 2022- April 2024Genofax l New York, US Dhaka, BangladeshMy GithubLinkedInSpearheading the development of healthcare startup product strategies encompassing technology design and in-depth research on targeted healthcare topics for business enhancement.Diligently staying abreast of the latest advancements in AI technology and global AI startups to inform strategic decision-making. Conducting comprehensive data analysis to derive insights crucial for product development and optimization.Collaborating closely with cross-functional teams to design innovative products integrated with cutting-edge AI technology, ensuring alignment with business objectives and market demands.Junior R&D EngineerNov 2020- August 2021NXTHI l Dubai (remote)SADIA ANJUMA I E n g i n e e r@codingthoughtsEMAIL AVAILABLESouth Hollis, NY-11423Developed Natural Language Processing projects focusing on Bangla and Urdu languages for spam detection on an application dashboard. Implemented Deep Learning classification for user requests to doctors with relevant specializations, along with the creation of functional APIs for model consumption.Conducted maintenance tasks on existing Deep Learning models. Proficiently worked with TensorFlow and PyTorch, utilizing pre-trained language models from frameworks like HuggingFace.Conducted research on Graph Neural Networks and collaborated on projects involving GAE, GAT, and VGAE models.Junior Machine Learning EngineerSep 2021 - March 2022Maya Digital Health l Dhaka, BangladeshPythonSQLData VisualizationDjangoPyTorchTensorFlowHuggingFaceLanguage ModelsNeural NetworksTableauExcelS3EXPERTISEMy GithubLinkedInAI EngineerApril 2022- September 2022Gaze l DhakaDedicated my time on building gazepay.io - Facial Recognition Payment system, pairing heightened security with seamlessness. Developed MVP and a POC paired with a Mobile Banking system for End-users to try and provide feedback.Worked with OpenCV, FaceNet to build and store the Face- coordinate embeddings of the user-base.PROJECTS DONEPredicting Bengali digits from Bengali Hand-written images. Bangla handwritten digitrecognition by neural networksIdeation project proposed in BUET ROBO CARNIVAL 2019. Head-gear for visually impairedusing yolo algorithmA database of 5000 movie is used to train the learner and with every input of a movie watched by the user, 5 similar movies will be output that the user might like.Content based movie recommentation systemusing basic natural language programmingTrained an LSTM model on a Kaggle data of tweet and 8 different emotions. The model then suggests products from an e-commerce site based on the mood of the user.VIRTUAL ASSISTANT MODEL FOR E-COMMERCESADIA ANJUMA I E n g i n e e r@codingthoughtsEMAIL AVAILABLESouth Hollis, NY-11423PythonSQLData VisualizationDjangoPyTorchTensorFlowHuggingFaceLanguage ModelsNeural NetworksTableauExcelS3EXPERTISELinkedIn |