Headline

AI/ML Engineer | Generative AI, LLMs & RAG | Document Intelligence & Automation | Multi-Agent Workflows | Python | Ex-OptiSol & Alesa AI | Open to Work

About

I build production-grade AI systems that solve real business problems — from intelligent document pipelines to large-scale RAG platforms. As an AI/ML Engineer with experience at two AI companies, I specialize in Generative AI, Retrieval-Augmented Generation (RAG), LLM fine-tuning, and end-to-end ML system design. I work across the full stack — from data ingestion and model training to deployment and monitoring. At OptiSol Business Solutions, I engineered a document auditing pipeline combining OCR, LLMs, and multi-agent workflows that reduced manual review time by 70%. I also built 25+ QA automation workflows using LangChain and prompt engineering, improving extraction accuracy by 35%. At Alesa AI (London), I designed RAG-based candidate screening platforms and LLM tooling using Python, FAISS, and OpenAI APIs, cutting screening time by 40%. Independent projects: - Sentient Data Storyteller — Agentic analytics platform processing 500K+ rows at 0.8s latency using LLaMA 3, Mistral, and HuggingFace Transformers, with dynamic visualizations and voice-synthesized AI debates - SkinToneNet — Custom CNN built with PyTorch achieving 87.3% accuracy on a 5,000+ image classification task Core skills: Python · LLMs · RAG · LangChain · HuggingFace · PyTorch · OpenAI API · FAISS · Pinecone · OCR · Multi-Agent Systems · MLflow · FastAPI · Vector Databases · Prompt Engineering · NLP Currently completing my MSc in AI/ML (May 2026) and actively seeking full-time roles in Generative AI or AI/ML Engineering. 📩 pradeep2004.dep@gmail.com

Location

Coimbatore

Work experience

Digital AI/ML Intern at OptiSol Business Solutions, Nov 2025 - May 2026 · 7 mos, Chennai, Tamil Nadu, India, • Developed an AI-based document audit agent to automate the manual review of clinical and regulatory documents. • Built workflows to ingest documents, extract key sections, and validate them against predefined compliance checklists. • Implemented rule-based and AI-driven validation to identify missing sections, inconsistencies, and compliance gaps. • Designed structured output reports that help regulatory and medical writing teams quickly understand document readiness. • Contributed to building a multi-agent system to orchestrate document parsing, validation, and reporting. • Handled end-to-end development — from requirement understanding to implementation, testing, and delivery. • Successfully delivered the product with continuous enhancements.

AI Intern at Alesa Ai Ltd, Jul 2024 - Dec 2024 · 6 mos, United Kingdom, Built a customizable LLM prompt generator, improving workflow efficiency by 30%. Designed a Tarot Reading AI platform using RAG, NoSQL, and Groq LLM, achieving 95% accurate interpretations across 10+ spreads. Developed an AI-powered recruitment tool with NLP + Qdrant, reaching 85% match accuracy via a user-friendly Streamlit app. Authored a deployment playbook for localized LLMs with optimized hosting, payments integration, and scalable guidelines.

Education

Master's Degree, artificial intelligence and machine learning, Coimbatore Institute of Technology