Headline

Machine Learning Intern | Deep Learning · NLP · Computer Vision · LLMs · Generative AI · Model Training | Python · PyTorch · Scikit-learn · Neural Networks | IIT Madras Data Science

About

I build things at the applied ML layer medical imaging pipelines, automation systems, and full-stack products that solve real problems. Right now I'm working on AI-powered early disease detection for Indian hospitals. My focus is on building imaging pipelines using ResNet and EfficientNet architectures, working with DICOM/PACS workflows, and developing breast cancer screening models with BI-RADS classification. I care about the full pipeline from raw messy data to model evaluation and deployment-ready outputs. Beyond computer vision, I'm deep in the GenAI and LLM space actively building with Transformers, RAG pipelines, LangChain, and vector databases. Already shipped one LLM-powered automation pipeline using Groq + Llama 3 in a production context. What I work with: Python · PyTorch · Scikit-learn · Deep Learning · Computer Vision · LLMs · Transformers · RAG · LangChain · Generative AI · NumPy · Pandas · React · Next.js What I've shipped: Medical imaging ML pipelines (ResNet/EfficientNet) for clinical breast cancer screening LLM-powered automation pipeline using Groq + Llama 3 for content at scale Full-stack web apps in React and Next.js I learn fast, go deep on domains quickly, and do my best work where the data is messy and the stakes are real. Always open to connecting with people building meaningful things in AI and ML.

Location

Nagpur Rural

AI stack

antigravity

codex

claudecode

Work experience

Machine Learning Intern at Aviothic ai, Apr 2026 - Present · 5 mos, Built a computer vision pipeline for breast cancer screening using ResNet and EfficientNet on large real-world medical imaging datasets; handled model evaluation and data pipeline development for domain-specific medical AI. Worked with DICOM/PACS medical imaging data pipelines and clinical imaging workflows for machine learning, gaining direct experience with how radiological data is processed and fed into deep learning models. Studied BI-RADS classification guidelines to understand medical domain knowledge and guide model decision boundaries for image classification tasks. Developed an NLP automation pipeline using Groq's Llama 3 API with a human-in-the-loop review step via Google Sheets, automated end-to-end with Playwright.

Founder / Secratary at Igniters CP Club IITM BS, Jan 2025 - Present · 1 yr 8 mos

Machine Learning and Marketing Intern at Aviothic ai, Apr 2026 - Jul 2026 · 4 mos, India

Regional Coordinator at IIT MADRAS, 2024 - 2025 · 1 yr, Managed student onboarding and event coordination for a large cohort in the online program. Built lightweight tracking tools to monitor student engagement across the cohort.

Education

Bachelor of Science - BS, Data Science, Indian Institute of Technology, Madras

St. Xavier's High School, Nagpur