I am an AI & Software Engineering Student pursuing dual degrees at IIT Madras and BITS Pilani, with a deep focus on building intelligent, scalable, and impactful applications. My engineering philosophy combines rigorous backend development with a strong product mindset, ensuring that robust architectures solve real-world problems effectively.
- Software Engineering: Architecting efficient backend APIs and working with cloud-native distributed systems.
- AI Engineering: Developing applied machine learning models, integrating LLMs, and optimizing Retrieval-Augmented Generation (RAG) pipelines.
- Full Stack & Product: Crafting seamless user experiences backed by high-performance data layers.
- Continuous Learning: Constantly exploring Data Structures & Algorithms, System Design, and advanced cloud architectures.
- Open To: Software Engineering Internships, AI/ML Internships, Open Source Collaboration, Hackathons, and Research Opportunities.
| Domain | Proficiency | Details |
|---|---|---|
| Generative AI & LLMs | Advanced | Implementation of RAG pipelines, Prompt Engineering, Gemini API integration. |
| Machine Learning | Intermediate | Data Analysis, predictive modeling, statistical learning. |
| Deep Learning | Intermediate | Neural network architectures, continuous model training. |
| NLP & Vision | Learning | Natural Language Processing fundamentals, exploring Computer Vision. |
| Model Deployment | Intermediate | Serving models via FastAPI, Cloud integrations, serverless execution. |
Vector
AI-powered career platform that analyzes resumes, matches jobs, explains skill gaps, and generates personalized learning roadmaps.
| Metric | Details |
|---|---|
| Stack | React, FastAPI, Supabase, Gemini API |
| Scale | Multi-tenant architecture designed to process hundreds of concurrent resume parsing requests. |
| Performance | Optimized LLM inference routing and async backend execution for sub-second responses. |
| Security | Secure API key management, Supabase Row Level Security (RLS), and encrypted user data. |
| Impact | Automates personalized career progression, reducing manual mentoring time. |
| Repository | GitHub Repository |
Professional Overview: Engineered a full-stack generative AI pipeline. Utilized FastAPI to handle asynchronous LLM requests and React for a dynamic, highly responsive frontend interface.
Project SYNAPSE: AirWatch
AI-powered community respiratory illness early warning system using public environmental data, weather APIs, and anonymous symptom reports.
| Metric | Details |
|---|---|
| Stack | Python, AI, PostgreSQL, REST APIs |
| Scale | Aggregates high-frequency environmental and health telemetry data points globally. |
| Performance | Efficient data ingestion pipelines minimizing database write overhead. |
| Security | Strict data anonymization protocols for crowdsourced health inputs. |
| Impact | Enables proactive community health measures through predictive environmental modeling. |
| Repository | GitHub Repository |
Professional Overview: Designed the core data aggregation engine. Integrated multiple third-party weather APIs and built the predictive AI logic to cross-reference environmental factors with illness trends.
Distributed File Storage System
A scalable distributed storage system focusing on reliability, replication, and fault tolerance.
| Metric | Details |
|---|---|
| Stack | Python, Java, Networking, Distributed Systems |
| Scale | Multi-node cluster architecture handling concurrent read/write operations. |
| Performance | Optimized network socket communication and data chunking algorithms. |
| Security | Node authentication and data checksum validation. |
| Impact | Demonstrates robust understanding of core backend infrastructure and consensus protocols. |
| Repository | GitHub Repository |
Professional Overview: Built the low-level networking protocols to ensure seamless data replication. Implemented heartbeat mechanisms and leader election to maintain high availability during node failures.
Smart Farmer Assistant
AI assistant providing crop recommendations, fertilizer suggestions, irrigation guidance, and market insights.
| Metric | Details |
|---|---|
| Stack | Python, Machine Learning, APIs |
| Scale | Processes diverse agricultural datasets covering multiple regional climates. |
| Performance | Low-latency inference for real-time mobile/web querying. |
| Security | Rate-limited API endpoints to ensure service stability. |
| Impact | Democratizes data-driven agricultural practices for improved crop yields. |
| Repository | GitHub Repository |
Professional Overview: Trained and validated machine learning models on agricultural data. Exposed model predictions through highly available Python endpoints for seamless frontend consumption.
Student Developer | Independent & Academic Research Present Building scalable software architecture and deploying intelligent applications as a dual-degree engineering student.
- Architecting full-stack AI applications integrating large language models with modern frontend frameworks.
- Developing and optimizing highly concurrent backend systems utilizing Python, Java, and PostgreSQL.
- Actively participating in hackathons to rapidly prototype solutions for complex, real-world problems.
- Expanding cloud-native development expertise through containerization (Docker, Kubernetes) and CI/CD best practices.
- Skills: AI Integration, Backend Architecture, Full-Stack Development, System Design, Problem Solving.
| Recognition | Details |
|---|---|
| Academic Projects | Delivered high-impact engineering solutions across dual degrees at IIT Madras & BITS Pilani. |
| Hackathons | Active participant and builder of AI-driven prototypes in competitive environments. |
| Open Source | Contributor to personal and community-driven technology initiatives. |
| Continuous Learning | Consistent upskilling in Data Structures, Algorithms, and System Design. |
status:
learning: "Data Structures & Algorithms, System Design, Docker, Kubernetes"
building: "Scalable full-stack AI applications and LLM pipelines"
exploring: "Retrieval-Augmented Generation (RAG) and Distributed Systems"
reading: "Advanced backend engineering paradigms and cloud computing research"
open_to: "Software Engineering Internships, AI/ML Internships, Hackathons"