This page traces how my work evolved, from modeling and experimentation into data products, distributed systems, and more operator-aware ML....
B.Tech in Electronics and Communication Engineering
Built my mathematical and systems foundation through coursework in linear algebra, algorithms, and neural networks. This phase shaped the base for my later work in ML, data systems, and AI.
An early computer vision project that sharpened my understanding of robustness under blur, distortion, and low-light conditions.
Included a purchase propensity model and a clustering workflow, marking a shift toward business-oriented ML and tabular data problems.
An early computer vision project that sharpened my understanding of robustness under blur, distortion, and low-light conditions.
Included a purchase propensity model and a clustering workflow, marking a shift toward business-oriented ML and tabular data problems.
Junior Data Scientist
Moved into product-facing ML through recommendation systems, evaluation logic, APIs, and deployment workflows. This phase pushed my work toward practical ML under real engineering constraints.
Data Scientist
Worked on production-scale data and ML systems across SmartTV analytics and ad delivery. This is where my work became deeply systems-oriented and production-focused.
A multimodal healthcare project that strengthened my work in transfer learning, preprocessing, and structured evaluation.
A multimodal healthcare project that strengthened my work in transfer learning, preprocessing, and structured evaluation.
M.S. in Data Science
Expanded into graph analytics, reinforcement learning, and intelligent interfaces through coursework and projects. This phase broadened my focus from prediction and analytics to more interactive AI systems.
A graph analytics system that brought together ingestion, schema design, natural-language querying, and user-facing interfaces.
A reinforcement learning system for HVAC optimization that pushed my work from prediction into control and simulation.
A reinforcement learning system for HVAC optimization that pushed my work from prediction into control and simulation.
A graph analytics system that brought together ingestion, schema design, natural-language querying, and user-facing interfaces.
These projects reflect where my work is focused now: productized AI, planning systems, and more model-level experimentation.
An inspectable analytics copilot for structured data that keeps planning, SQL generation, and validation visible.
A sprint planning copilot that turns high-level goals into scoped tasks, priorities, and assignments based on team skills and capacity.
An adaptive inference system that reduces SD v1.5 latency with prompt-aware step allocation and latent-convergence early stopping.
The emphasis here is on strengths that grow together in production: platform thinking, applied ML, decision systems, and disciplined delivery.