Summary
AI Engineer with 1 year of experience building agentic and NLP systems. Designed and shipped LangGraph multi‑agent workflows across a health platform, carbon accounting, and a prize‑winning deployed agent platform with live users. Strong foundation in transformers, retrieval, and end‑to‑end ML pipelines with Docker.
Experience
AI Engineer Intern – Neolen
Remote · Nov 2025 – Feb 2026
- Built a multi-agent system using LangGraph and prompt optimisation for a diabetes-reversal health-tracking platform.
- Optimised agent routing logic, reducing average response latency by 47% and eliminating loop failures in the workflow.
Software Engineering Intern – OHack
Remote · Jun 2025 – Aug 2025
- Deployed an NLP-based document-classification agent (Transformer models, FastAPI, Google API) with confidence scoring and human-in-the-loop validation for internal document retrieval.
- Engineered a classification pipeline with structured logging for model iteration, traceability and production monitoring.
Junior ML Engineer & Data Engineering Lead – Omdena, ClimateSense
Remote · Jun 2025 – Sept 2025
- Led a data engineering pipeline that unified ERA5, GPM, DEM and HydroSHEDS datasets into analysis-ready stores; implemented validation checks and anomaly-detection screens.
- Built and deployed a deep-learning weather-forecasting model (GraphCast) for flood-risk prediction and containerised reproducible inference with Docker.
Junior ML Engineer & AI Lead – Omdena, CarbonAgents
Remote · Jul 2025 – Oct 2025
- Designed a LangChain/LangGraph multi-agent system with RAG for small and medium-enterprise carbon accounting: OCR invoices → NER/entity extraction → Scope 2 emissions → report generation.
- Implemented prompt engineering strategies and retrieval optimisation for accurate LLM-based document processing; containerised services with Docker.
Technologies
Languages: Python, C, C++, SQL.
ML/DL frameworks: PyTorch, TensorFlow, scikit-learn, Hugging Face Transformers, Pandas, NumPy, Matplotlib.
GenAI frameworks: Transformers, spaCy, LangChain, LangGraph, LangSmith.
Computer vision tools: YOLO, OpenCV, object detection, image classification, multi-modal processing.
Databases & Search: FAISS, Elasticsearch, semantic embeddings, vector similarity search.
Deployment & DevOps: Docker, FastAPI, Git, REST APIs.
Education
Heritage Institute of Technology
B.Tech in Electronics & Communication Engineering · Sept 2022 – May 2026
Grade: 8.95 / 10.
Relevant coursework: Machine Learning, Deep Learning, Probability & Statistics, Linear Algebra, Data Structures & Algorithms.