AI Engineer with 2+ years in Deep Learning, Computer Vision & NLP
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AI/ML Engineer developing multimodal deep learning systems, end-to-end MLOps pipelines, and cloud-deployed research applications across computer vision, autonomous systems, and neural signal processing. Converts research prototypes into inference-optimized, deployment-grade solutions spanning sensor fusion, data pipelines, and edge inference.
Institute of Technology and Management, Gwalior
Bachelor of Technology · Computer Science
August 1, 2022 – June 30, 2026
Kiddies Corner (MP Board)
Higher Secondary Certificate (XII)
June 1, 2021 – May 31, 2022
International Conference on AI & Business Innovation, ITM Gwalior
Research Presenter
June 1, 2025 – Present
Gwalior, Madhya Pradesh, India
Google Developer Groups on Campus (GDGC), ITM Gwalior
Machine Learning Lead
March 1, 2024 – July 1, 2025
Gwalior, Madhya Pradesh, India
Aurum - Agentic Clinical AI System with RAG and Self-Critique Guardrails
March 1, 2024 – September 1, 2024
Developed a 6-stage agentic pipeline for SOAP note generation with RAG, Med-HALT hallucination detection, and human-in-the-loop escalation; scored 0.709 on 20 benchmarks. Achieved sub-100ms vector retrieval via Supabase/pgvector and Gemini embeddings; cloud-deployed on Vercel with Next.js server components and TypeScript API routes.
View Project3D Semantic Segmentation for Autonomous Driving
September 1, 2023 – March 1, 2024
Integrated LiDAR geometry with DINOv2 features across 16 nuScenes classes, boosting mloU to 69.13% and accuracy to 92.06% on the autonomous driving benchmark. Designed and built feature engineering and data pipelines for batched point cloud collation across multi-GPU training, delivering inference through a CUDA-accelerated FastAPI backend with a React/Three.js frontend. Automated CI/CD pipelines using GitHub Actions and Docker, reducing container build time and ensuring reproducible model versioning across HuggingFace Hub releases.
View ProjectGPT-2: Transformer Language Model from Scratch
April 1, 2023 – August 1, 2023
Built GPT-2 from scratch in PyTorch with causal self-attention, positional encoding, and AdamW scheduling; QLORA fine-tuned to 98.4% sentiment accuracy and 73.38 chrF. Launched a Gradio inference interface on HuggingFace Spaces; tracked 15+ training runs via Weights & Biases with gradient monitoring and evaluation dashboards.
View ProjectHybrid Clustering Framework for Integrated Crime Prediction and Analysis
International Conference on AI & Business Innovation, ITM Gwalior
June 1, 2025 – Present
Cultural Fit Analysis
The candidate's involvement in GDGC, open-source contributions, and research presentation indicates a strong inclination towards community engagement, knowledge sharing, and continuous learning, which are positive indicators for cultural fit in a dynamic AI engineering environment. The diversity of projects (clinical AI, autonomous driving, foundational LLM) shows adaptability and a broad interest in AI applications.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership and mentorship skills through their role as a Machine Learning Lead. Their involvement in publishing research and open-source contributions suggests a proactive, collaborative, and continuous learning mindset. The project descriptions indicate an ability to work on complex, multi-stage systems and a focus on real-world applicability and performance optimization.