I am a Tech leader with 10+ years of experience in unlocking business value through applied ML. I have deep experience in leading teams and shipping ML solutions in retail/apparel/IoT for both startups and big-tech. Prior to DealShare I was with Myntra where I have worked and led teams serving personalised recommendations to millions of users. I have worked on problems around LLM, pricing, demand forecasting and customer retention. Prior to this I worked with Bridgei2i to detect machine failures/faults using IoT data. Before that I was with Amadeus working on demand forecasting and clustering for seat sharing. I am good at making trade-offs between competing requirements from business, product, engineering and data science, to achieve 80% results in 20% time. I am able to reliably translate business problems into data driven solutions and execute them in milestones, generating new ideas along the way. I am a data generalist who can bootstrap myself to a relatively high degree of proficiency in most areas within a short period of time. Specialisations : 1. LLMs(hugging-face, PyTorch) 2. Tree based models (xgboost,lightgbm,rf) 3. Explainable ML (SHAP/Captum/LIME) 4. GPU accelerated toolkits (cupy/JAX/rapids/Triton/TorchScript/onnx-runtime) 5. ML Serving systems (Ray-serve/Triton) 6. In memory systems (redis/plasma/shared memory)