Developed the backend data-processing layer for an AI-visibility system evaluating LLM behavior across a 60+ query universe, using normalized SQLite storage to improve data retrieval speed by 30%.

Engineered a JSON LLM-extraction layer analyzing 150+ responses, executing causal experiments to isolate search visibility factors and rank 15 top competitors.

Automated data pipeline orchestration using Python scripts, eliminating manual bottlenecks and saving the research team 15+ hours per week.

Architected an SEO-optimized Next.js application with REST APIs, achieving a 96+ Lighthouse performance score across 8 high-traffic user pages.

Streamlined editorial workflows by implementing a customized Sanity CMS, cutting content upload time by 32% and enabling non-technical staff to publish independently.

Integrated Razorpay secure payment gateways alongside PostgreSQL databases, engineering the platform to process 500+ monthly user transactions with 99.9% system uptime.

Directed full-lifecycle development for 7+ client projects, delivering Next.js and React web applications that increased client user retention metrics by up to 25%.

Formulated custom machine learning pipelines using PyTorch and Scikit-learn, automating document verification workflows and decreasing manual review time by 40%.

Extracted 1,000+ job descriptions utilizing BeautifulSoup to construct a training corpus for predictive skill-matching algorithms.

Optimized a semantic recommendation engine using FAISS and MiniLM embeddings, deploying Flask APIs that reduced real-time inference latency to under 50ms.

Implemented 10+ RESTful CRUD API endpoints and model-driven routes using Flask.

Led a 6-member engineering team to secure 1st place at the national Smart India Hackathon finale, managing end-to-end execution from system design to the final jury presentation.

Designed and implemented machine learning pipelines for certificate forgery detection and a course recommendation system using FAISS to provide personalized learning paths.

Coordinated task allocation, timelines, and cross-functional collaboration to ensure on-time delivery of a production-ready solution.

Directed a technical community of 20+ members, organizing 5+ intensive workshops focused on modern web and AI frameworks.

Designed learning roadmaps and curated resources to help members build strong foundations in machine learning concepts.

Collaborated with other society leads to align AI/ML initiatives with broader technical and community goals.