• Engineered a RAG-based LLM pipeline for academic Q&A by integrating Python, FastAPI, and vector embeddings on AWS, improving information retrieval accuracy by 20%.
• Validated performance with JUnit and load tests simulating concurrent users, surfacing 4+ bottlenecks pre-production.
• Fine-tuned and evaluated ML models on academic datasets using Python and Jupyter, benchmarking transformer architectures to improve model accuracy by 15% over baseline.

• Engineered end-to-end full-stack AI learning workflows by building ReactJS and TypeScript frontends backed by Python REST APIs, increasing user engagement by 30%.
• Secured REST APIs by implementing JWT authentication and role-based access control across 20+ endpoints, preventing unauthorized access to user data.
• Developed GenAI summarization and recommendation pipelines by integrating LLM APIs with scalable Python services on AWS, reducing content curation effort by 35%.
• Integrated Stripe payment gateway into platform, enabling monetization and unlocking the revenue stream for product.

• Re-architected legacy PHP-based systems, migrated core functionality to React and NodeJS, improving responsiveness and backend maintainability while reducing development time by 20%.
• Built and Implemented a resignation portal using ReactJS, and MongoDB, implementing Docker containerization and automated testing with Jest, reducing manual HR effort by 30%.
• To support real-time ad performance tracking, built an analytics dashboard using React and Redux with an event-driven data flow, integrating APIs through Python middleware to handle live updates and ensure consistent state management.
• Coordinated closely with cross-functional teams like senior engineers, QA, and stakeholders in an Agile environment to deliver features incrementally and address production issues.
• Reduced MTTR by 40% by implementing centralized monitoring and observability using AWS CloudWatch and Grafana dashboards to track API latency, error rates, and system health across production services.

• To reduce technical barriers for small businesses, Engineered a no-code web platform using React and REST APIs, allowing 500+ businesses to launch webpages and increase sales by∼20%.
• To improve data access speed and scalability, Optimized data access by implementing Redis caching and optimized data storage using PostgreSQL, reducing repeated database queries and improving responsiveness under load.
• Streamlined frontend components using test-driven development(TDD) and modular design patterns which reduced code complexity by∼25%, collaborated with the UX team to improve user experience by∼30% .

Courses Taken

• Algorithms Analysis
• Machine Learning
• Database Theory & Implementation

Courses Taken

• Data Structures and Algorithms
• Software Engineering
• Data Science and Big Data Analytics
• Machine Learning
• Systems Programming and Operating Systems