- 🎓 B.Tech in Computer Science | Delhi Technological University (2022 - 2026)
- 💡 Passionate about Backend Systems, Data Structures, and Machine Learning
- 📄 AI/ML researcher with multiple publications in the AI/ML domain. Google Scholar
- 🎵 I have a deep love and passion for music and beatboxing
- Working with the AWS CloudWatch team on sample applications with production-grade observability setups.
- Built and configured applications with metrics, logs, dashboards, and alarms across AWS services to help customers and companies onboard faster.
- Published sample applications under the official AWS Samples open-source organization: aws-samples/sample-observability-stacks-for-cloudwatch.
- Developed and deployed tools for custom AI agents, including conversational and real-time speech-calling systems.
- Improved LangChain context management with chat summarization and fact storage, reducing context-loss errors in production.
- Contributed to cost-reduction and pricing-modeling initiatives under the CFO using AI-driven insights.
- Worked on Project Indus, India's large language model initiative.
- Optimized file processing, cleaning, and translation workflows using multithreading and asyncio.
- Performed supervised fine-tuning of Indus 2.0 using PEFT and LoRA, achieving a 30% accuracy improvement.
- Built advanced ensemble ML/DL models for Soil Organic Carbon prediction using hyperspectral satellite imagery.
- Applied noise reduction and dimensionality reduction techniques to improve model performance.
- Achieved 97% SOTA accuracy for hyperspectral-based SOC prediction.
- Published the research "DSeP-xNet: A Feature Optimized Ensemble Framework for Hyperspectral-Based Soil Organic Carbon Prediction," which received the Best Paper Award at the IEEE International Conference on Augmented Reality, Intelligent Systems, and Industrial Automation (ARIIA 2024).
- Languages: Python, C++, Java, SQL, JavaScript/TypeScript, Bash
- AI/ML: PyTorch, NumPy, Pandas, Scikit-learn, Machine Learning, Deep Learning
- Backend & Web: FastAPI, Express.js, Spring Boot, React, Tailwind CSS, REST APIs
- Cloud & DevOps: AWS, AWS CDK, IaC, Docker, Linux, Git
- Core Concepts: Data Structures & Algorithms, OOP, Operating Systems, Computer Networks, DBMS
- Built a scientific citation-based RAG system using LangChain for grounded question answering over a custom DTU knowledge base.
- Ingested and indexed 800+ official PDFs and notices using web scraping and parallelized processing.
- Developed a Streamlit frontend for citation-backed answers with direct PDF source access.
- Smart India Hackathon 2023: National Winner of the world's biggest open innovation model.
- Smart India Hackathon 2024: Grand Finalist, selected among the Top 5 teams in India.
- IIT Roorkee Cognizance 2023: 2nd Runner Up in CCD - Cloud Coverage Determination.
- IEEE ARIIA 2024: Won the Best Paper Award at an international IEEE conference.
- CodeChef: 4-Star rating with 1770+ rating and Global Rank 19 in Starters 130.
- LeetCode: Solved 700+ problems with a 1750+ contest rating.
- HPAIR 2025: Selected as a delegate for the Harvard College Project for Asian and International Relations Conference.
- Audio-based Machine Fault Diagnosis using Hybrid Feature Extraction and Ensemble Learning - ICCCNT '24
- EVOLVE-MEM: A Self-Adaptive Hierarchical Memory Architecture for Next-Generation Agentic AI Systems - NeurIPS '25
- DseP-xNet: A Feature Optimized Ensemble Framework for Hyperspectral-Based SOC Prediction - ARIIA '25, Best Paper Award
- Autonomous Cheating Detection for Online Examinations using Knowledge Distillation and Multi-task Learning - ICCCNT '25
🌟 Explore my repositories for projects in AI agents, cloud systems, RAG, and machine learning.
🌟 Always open to collaborating on AI, ML, backend, cloud, and research-driven software projects.