Technical Lead
Leading work on chatbots, knowledge assistants, RAG systems, vector databases, multimodal LLM workflows, agent-based systems, reliability guardrails, and deployment planning.
Senior AI Lead | Applied AI Scientist | GenAI | Computer Vision
I work as a senior AI lead and applied machine learning scientist. Over the last seven years, I have worked on Generative AI, RAG, LLM agents, computer vision, and healthcare intelligence, with a strong bias for systems that are useful outside a demo.
About
I like working where research and engineering meet. My current work includes chatbots, knowledge assistants, RAG pipelines, vector search, multimodal systems, and LLM agents.
I still enjoy being close to the models and architecture, but my role now also includes technical direction, delivery decisions, and helping teams build AI systems that behave reliably. Earlier work includes image enhancement, super-resolution, image harmonization, healthcare recommendation systems, government chatbots, and pandemic dashboards.
Experience
Leading work on chatbots, knowledge assistants, RAG systems, vector databases, multimodal LLM workflows, agent-based systems, reliability guardrails, and deployment planning.
Worked on applied ML problems for clients and products, compared features against strong research baselines, and helped turn promising ideas into usable product features.
Worked on computer vision models for image enhancement and super-resolution, deployed ML models as APIs, and built backend infrastructure for AI applications.
Built recommendation and decision-support systems, healthcare and government chatbots, and predictive models for medical and pandemic datasets.
Built AI-based investigation recommendation systems and chatbot solutions for nationwide healthcare management.
Skills
Generative AI, LLMs, RAG, LangChain, AI agents, prompt design, model evaluation, applied research, and ML workflows.
Image enhancement, super-resolution, image harmonization, quality metrics, object placement, lighting, and artifact analysis.
Vector databases, embedding pipelines, metadata-aware search, Django APIs, AI services, observability, deployment automation, and technical leadership.
Pandas, NumPy, Django, and backend services that help make machine learning models usable in products.
Education
Artificial Intelligence
Big Data Analytics
Information Technology
Research & IP
Abhijat Chaturvedi and co-authors
Evolving Technologies for Computing, Communication and Smart World: Proceedings of ETCCS 2020
Abhijat Chaturvedi and co-authors
Abhijat Chaturvedi and co-authors
Abhijat Chaturvedi and co-authors
Abhijat Chaturvedi and co-authors
Projects
Designed ways to evaluate image quality using naturalness, object placement, lighting, edge artifacts, realism, and visual consistency.
Worked on models that blend objects into generated backgrounds more naturally by fixing color, lighting, and texture mismatches.
Built computer vision workflows for improving image resolution and visual detail.
Built a medical decision-support system for case history analysis, medication suggestions, and treatment guidance.
Built an interactive COVID-19 dashboard for tracking cases, active cases, recoveries, and deaths in India and across the world.
GitHub
These repositories are pulled from GitHub automatically, so the list stays current as public work is added.
Medium
I write literature on Medium as a hobby. It is a different side of me from the AI work, and this section updates as new pieces are published.
Contact
I am open to conversations around AI leadership, applied research, Generative AI, RAG, LLM agents, computer vision, ML platforms, and thoughtful AI product work.