🚀 AI Backend Intern at Draup | Ex-Generative AI Intern at Infogain | IIIT Ranchi ’26 | Building scalable AI systems, production-grade backend, and applied LLM products
- 🎓 Final-year B.Tech CSE student at IIIT Ranchi (Batch of 2026)
- 🧠 Building AI systems with LLMs, RAG, and multi-agent workflows
- ⚙️ Working on enterprise Django backends, DRF APIs, JWT auth, and observability
- 🔬 Researching LLM alignment, fine-tuning, and multilingual evaluation
- 🧩 Interested in voice agents, LLM evaluation frameworks, and scalable AI architecture
- 📝 Sharing technical insights on AI/ML, backend engineering, and applied systems
- 🤝 Open to collaboration on AI products, research, and backend engineering
I regularly write about AI, Machine Learning, and LLMs on Medium. Check out my latest articles:
📝 Topics I write about:
- 🤖 Generative AI & Large Language Models
- 🧠 Multi-Agent Systems and LLM orchestration
- 🔍 RAG Pipelines & Hybrid Retrieval techniques
- 💡 Applied AI tutorials and project breakdowns
- 🛠️ MLOps best practices and production deployments
💭 "Sharing knowledge is the best way to solidify understanding"
- 🔬 Indian Languages NLP Research: Contributed to dataset curation (co-authored 700-entry bilingual dataset, ICLR 2025 submission) and experiments for Sanskrit, Marathi, and Hindi NLP systems (e.g., fine-tuned Whisper for Hindi speech-to-text in EchoScript) [file:1]
- 📊 Developed multilingual LLM evaluation and benchmarking frameworks, assessing open-source models on alignment, cross-lingual robustness, and post-training effects using Hugging Face datasets [file:1]
- 🧪 Built and explored novel hybrid retrieval systems (e.g., ResearchMind with Cohere Rerank and semantic caching; MedGuide RAG pipeline improving accuracy by 30%) for specialized domains like arXiv analysis and medical reports [file:1]
- 🤝 Active contributor to AI/ML open-source projects on GitHub
- 🧩 Building reusable components for LLM applications and agent frameworks
- 📦 Sharing tools and utilities for the AI developer community
- ⭐ Check out my repositories to see what I'm working on!
🔗 Explore my AI projects and implementations:
👉 GitHub Repositories
I'm actively seeking opportunities to collaborate and grow in the AI/ML space:
| 🤝 | Collaborations Open-source projects, research papers, AI/ML initiatives |
| 💼 | Job Opportunities Generative AI, NLP Engineer, ML Engineer roles |
| 🔬 | Research Projects Applied AI, Multi-Agent Systems, LLM applications |
| 🎤 | Speaking & Mentoring Workshops, technical talks, knowledge sharing |
📬 Feel free to reach out at sahilaggarwal1532003@gmail.com
|
Hindi speech-to-text pipeline using Whisper fine-tuning, transcript cleanup, and error-aware post-processing for cleaner downstream analytics and LLM workflows. |
RAG-powered multi-agent system for lab report interpretation, reducing analysis time by 80% and improving retrieval accuracy by 30%. |
- 🧩 Contributed to experimental NLP research on multilingual models for Sanskrit and Marathi datasets
- 🧠 Exploring advanced LLM orchestration with LangGraph, CrewAI, and Agno
- 🔬 Building evaluation frameworks for multi-agent systems and RAG pipelines
- 📝 Writing technical blogs on AI, backend engineering, and applied LLM systems
| Category | Tools / Frameworks |
|---|---|
| Languages | Python, C++, C, SQL |
| Backend | Django, Django REST Framework, FastAPI |
| AI / ML Frameworks | PyTorch, TensorFlow, LangChain, LangGraph, CrewAI, Agno |
| Databases | PostgreSQL, MySQL, LanceDB |
| Libraries | Scikit-learn, Pandas, NumPy, Hugging Face, OpenCV |
| Deployment | Docker, Streamlit, FastAPI |
| Tools | GitHub, VSCode, Jupyter Notebook, Google Colab, Kaggle, Postman, Jira |
| Cloud / Infra | AWS, Docker, Linux |
| Domains | Generative AI, LLMs, NLP, Applied AI, Multi-Agent Systems, Deep Learning |
🚀 Professional Experience
- 🧠 AI Backend Intern at Draup
Working on enterprise backend systems with Django, DRF, JWT authentication, and observability, while contributing to production AI workflows - 🤖 Ex-Generative AI Intern at Infogain
Built UIBot, a GenAI assistant that generated UI components and test suites, reducing manual UI/QA cycles by 15% - 🔬 Student Research Intern at Pragya Lab
Researching post-training LLM alignment, multilingual behavior, and base vs instruct model performance through structured experiments
🔬 Research & Open Source
- 🇮🇳 Indian Languages NLP Research Contributor
Contributing to dataset curation and experiments for Sanskrit and Marathi language systems - 📊 Multilingual LLM Evaluation
Working on benchmark-driven evaluation of LLMs across multilingual and cross-lingual settings - 💻 Open Source Contributor
Contributing to AI/ML projects and building reusable components for LLM applications, agent workflows, and RAG systems
🏆 Selected Achievements
- 🧠 Built ResearchMind, a production-grade multi-agent RAG system for arXiv paper analysis
- 💊 Built MedGuide, a RAG-powered medical interpretation system that improved retrieval accuracy by 30%
- ⚖️ Shortlisted in the Global Agent Hackathon for Legalia.AI, an AI courtroom simulator
- 📝 Published technical blogs and reached 500+ total views
- 💪 Solved 800+ coding problems across platforms including LeetCode, CodeChef, and GFG
💪 Competitive Programming
Solved 800+ coding problems across multiple platforms:
🎯 Leadership & Community
- 🏅 Active member of House of Geeks and ACM IIIT Ranchi
- 🎤 Organizing technical workshops and events
- 👥 Mentoring juniors in AI/ML and competitive programming
If you find my projects helpful or interesting:
- ⭐ Star my repositories
- 🔔 Follow me on GitHub for updates
- 🤝 Collaborate on open-source projects
- 💬 Share with others who might benefit
- 📝 Read and share my Medium articles
⭐ If you find my work interesting, consider starring my repositories!
🤝 Open to collaborations, research opportunities, and job roles in AI/ML
Made with ❤️ and lots of ☕ by Sahil Aggarwal
💼 Currently exploring opportunities in Generative AI & NLP | 🌐 Let's build something amazing together!
