About
Machine learning engineer with production experience building computer vision and LLM-based systems end to end, from model training and evaluation to deployment, APIs, and analytics interfaces. Interested in clinical imaging and medical device software.
Experience
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Machine Learning EngineerNovae Avenue · New DelhiOct 2025 – Present
Trained and shipped segmentation, detection and classification models on large image datasets; built analysis layers over model outputs; cleaned and re-annotated a dataset; moved models from PyTorch through ONNX to TensorRT and RKNN with quantization; delivered backend and API pipelines to production.
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Research Assistant (Scientific Software)RaylabsJan 2026 – Jul 2025
Repaired an RNA structure prediction pipeline, fixed REST integration, added retry and timeout handling, and validated the fix with controls.
Education
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2025
B.TechIndraprastha Institute of Information Technology Delhi (IIITD)Computer Science and Artificial intelligence · Aug 2021 – Jul 2025
Skills
Tools / apps / platforms
Projects
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Python, PyTorch, BERT, RoBERTa, GPT-2, GitHub Actions, PyTest
Fine-tuned transformer models on SemEval 2024 lateral-thinking tasks and reached 80% accuracy.
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Python, Groq, NVIDIA NIM, Ollama, Flask, PyQt5, Whisper
Unified multiple LLM providers behind one OpenAI-compatible client and built CLI, desktop, and web front ends on one event-driven engine.
🏆 Achievements & awards
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Dean’s List · 2023
Academic recognition.
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Amazon HackOn Season 3 Round 4
Reached Round 4.
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Codeforces Specialist
Competitive programming achievement.
🎯 Hobbies & interests
- problem solving
- competitive programming