Computer Science undergraduate (2026 grad) with a Minor in Data Science from IIT Guwahati, based in Hyderabad, India. I'm looking for opportunities as a Data Scientist / ML Engineer / Data Engineer.

• Currently sharpening ML fundamentals and SQL through hands-on, from-scratch implementations
• Exploring AI agents and agentic workflows on top of LLM/RAG pipelines
• Ask me about ML concepts, SQL, and applied NLP/LLM/agent projects
• Reach me via GitHub

• Languages & Core: Python, SQL
• ML/DS: Scikit-learn, Pandas, NumPy, Matplotlib, SHAP, Imbalanced-learn
• NLP/LLM: Hugging Face Transformers, Sentence Transformers, ChromaDB, RAG pipelines, llm's
• AI Agents: Agentic workflows, tool-use/orchestration patterns built on top of LLM/RAG pipelines
• Tools: Streamlit, Excel Power Query, Git/GitHub

An e-commerce review intelligence app combining sentiment analysis with an LLM/RAG pipeline.

• Streamlit app with ChromaDB vector store
• Sentence Transformers (all-MiniLM-L6-v2) embeddings + Groq Llama 3.3 70B for generation
• Built on a 100k-review subset of the McAuley Amazon Reviews 2023 dataset

Built at Anveshan Hackathon 2025 with a teammate.

• RandomForestClassifier achieving F1 score of 0.9993
• TF-IDF vectorized text classification on a balanced 17,680-record dataset
• Interactive Streamlit dashboard with SHAP-based explainability, single input or CSV batch upload

Collaborative safety alert app project.

• Built a Wav2Vec2 scream-detection prototype from scratch
• Researched voice-assistant architecture (VAD, wake word detection, RNN-T/Conformer ASR) to inform the design
• Alerts emergency contacts via SMS, call, and live GPS location on distress detection