Final-year Artificial Intelligence and Data Science student with hands-on experience in backend system design, serverless architectures, and machine learning. Proficient in building scalable applications with PostgreSQL, REST APIs, and cloud-native technologies. Recent contributions include refactoring open-source codebases for improved domain clarity and developing a financial analytics platform handling 1K+ daily data updates with optimized caching. Strong foundation in Data Structures, Algorithms, Object-Oriented Programming, and full-stack development. Proven ability to collaborate effectively in agile environments, deliver production-ready solutions, and apply engineering principles to solve real-world challenges.
Serverless backend platform ingesting live stock data for 150+ NSE-listed stocks with PostgreSQL schemas, external API integration, and hash-based caching reducing API calls by 70-80%. Handles 1K+ daily data updates with ownership-based access control.
Preview coming soon
A full-stack, privacy-first chat assistant for campus information with RAG and locally-hosted Gemma2:2b model. Features real-time chat UI, custom knowledge base, and runs entirely offline.
Preview coming soon
Real-time ML pipeline processing 100+ IoT endpoints with anomaly detection. Enhanced system performance by 30% and deployed scalable solution to GCP serving 3+ teams.
Preview coming soon
Full-stack web app with authentication, admin panel, and data management. Improved user experience by 40% through backend enhancements and reduced load times by 20%.
Activist (GitHub), Remote
Proven Solution, Riyadh, Saudi Arabia, Remote
Sree Rama Engineering College (Affiliated to JNTUA), Tirupati, India
Foundational AI/ML concepts with OCI services plus GenAI and LLM basics, with secure deployment patterns.
Data wrangling, visualization, and statistical testing in R to ship decision-ready insights.
Built a full-stack app with responsive UI, RESTful backend, and a deployment workflow tuned for performance.
Simulated trading dashboards, code cleanup, and performance tuning for real-time data pipelines.
Core Python constructs, problem-solving patterns, and clean code habits for backend and scripting.
Have a project, collaboration, or question? Drop a line and I’ll reply soon.