Lalit Wagh

As an AI & Machine Learning Engineer with 3+ years of experience, I specialize in transforming complex business challenges into scalable, production-grade AI systems. With an MSc in Advanced Computer Science with Artificial Intelligence from the University of Strathclyde, I bridge the gap between cutting-edge AI research and tangible business value.
​Rather than just focusing on experimental AI, I build robust, end-to-end solutions that drive operational efficiency and revenue in complex, high-impact sectors—from automated range management systems to financial trading platforms and intelligent real estate CRMs.

​Core Expertise:
​Generative AI & LLMs: Specialized in building Retrieval-Augmented Generation (RAG) pipelines, AI Agents, and Agentic workflows.
​Model Integration: Experienced in deploying GenAI applications using OpenAI, Gemini, and LiteLLM. I regularly integrate vector databases like Qdrant, Pinecone, and FAISS to power high-performance search and retrieval.
​Backend & Infrastructure: Skilled in developing modular APIs with FastAPI. I architect scalable backend systems using Postgres and DynamoDB, and orchestrate pipelines via AWS (including S3, Lambda, and ECS Fargate).
​Workflow Automation: Proven ability to engineer automated workflows using N8N and GCP APIs. I have led the development of internal AI Agents specifically designed for document Q&A, HR automation, and lead generation software.