Sahil Prasad

I am writing to express my interest in the AI/ML Engineer position at your organization. I am an AI/ML Engineer with 1+ year of professional experience building and deploying computer vision, machine learning, and LLM-powered solutions in production environments.

In my current role as an AI Engineer at I-pangram LLP, I have developed and deployed five computer vision models for automated quality inspection in manufacturing environments. By applying targeted data augmentation, hard-negative sampling, and layer-wise hyperparameter tuning, I improved classification precision by 35% and helped eliminate approximately two hours of manual inspection work per day. I have also worked on deployment-ready inference pipelines using technologies such as Python, PyTorch, OpenCV, FastAPI, DeepStream, and Docker.

Previously, as a Computer Vision Engineer at Ladder Logix, I trained and deployed deep learning models for industrial defect detection, improving accuracy by 12–18% over baseline and reducing false positives and false negatives through threshold calibration and iterative retraining. I also integrated inference systems into PLC automation workflows for real-time pass/fail decisions.

Alongside computer vision, I have hands-on experience developing LLM and RAG applications. My projects include an enterprise-grade RAG application with semantic chunking, embeddings, vector databases, cross-encoder reranking, evaluation, tracing, caching, and guardrails. I have also developed a voice-based AI ordering agent using speech-to-text, LLM function calling, FastAPI, and POS API integration.

My technical background includes Python, C++, PyTorch, Scikit-learn, OpenCV, YOLO, Hugging Face Transformers, LangChain, LangGraph, FastAPI, Docker, FAISS, ChromaDB, Pinecone, and REST APIs. I hold a Bachelor of Engineering in Computer Engineering from Government Engineering College Dahod with a CGPA of 8.27/10.

I am particularly interested in opportunities where I can contribute to production AI systems, solve practical business problems, and continue developing my expertise across machine learning, computer vision, and generative AI. I would welcome the opportunity to discuss how my experience and technical skills can contribute to your team.