Sr. Python Developer with 10+ experience in ESG, FINTECH (Tax Due Diligence Solutions, Alternative Investments) & Healthcare Analytics with proven ability to manage resources and deliver AI/ML-powered data-driven insights that have helped organizations make better decisions and drive tangible business results.➡ Developed and delivered multiple projects across business lines utilizing cutting-edge AI and Deep Learning based technologies (ML, NLP, …), resulting in significant cost savings each year.➡ Responsible for developing and implementing data science strategies, designing and developing AI systems and applications, and conducting research and analyzing data to help solve complex business problems.➡ Responsible for identifying, assessing, and managing stakeholder requirements by envisioning roadmaps, communicating findings, discussing development plans, managing potential conflicts of interest, and decision-making check-ins.➡ Proficient in designing and maintaining cost-optimized, large-scale SOTA (State-of-the-Art) data-intensive AI/ML systems applicable to various domains.➡ Technical Expertise in AI / ML – Computer Vision (CNNs), Natural Language Processing (NLP), Distributed Multi-GPU training, Predictive Modelling, clustering, Classification, Large Language Models (Transformers - powered), Transfer Learning, Active Learning, Fine-Tuning, Feedback loop, Statistical Analysis, Data Analytics, ANNs, KNN, Topic Modelling, Nearest Neighbors, Deduplication systems, Data Visualization.➡ Expertise in all modern and traditional AI tools – Tensorflow, Pytorch, TRAX, Hugging Face, Scikit learn, Gensim, Pandas, Numpy, PySpark, Language Models, Accelerate, Matplotlib, Seaborn, PowerBI, and many others.➡ Well-versed in end-to-end SDLC & ML workflows – Data Preprocessing, Feature Engineering, Model building, Deployment on GPU/Non-GPU clusters, hardware optimization, Load optimization, Model Evaluation, monitoring, and continuous re-training.➡ Software architect with Experience designing end-to-end products based on cutting-edge architecture designs involving design, implementation, deployment, DevOps, and maintenance.➡ Expertise in containerization and orchestration tools – Docker, Kubernetes, Container Registries➡Proficient in Azure Cloud infra setup using terraform/Azure CLI/Portal and all surrounding DevOps activities.