I am a |
Get In TouchHighly skilled software developer with 7+ years of experience in AI/ML solutions development and cloud technologies. I am a skilled AI/ML developer with deep expertise in cutting-edge technologies, specializing in AI model development, agentic AI, and advanced generative AI solutions. My experience spans across a variety of tools and frameworks, including Python, Watsonx, and Milvus, enabling me to create innovative AI-driven applications with a focus on performance, scalability, and intelligent automation. I specialize in developing and deploying AI agents using techniques like Retrieval-Augmented Generation (RAG) and agentic architectures, with a strong foundation in the integration of AI systems for real-time decision-making. Additionally, I have hands-on experience with AI frameworks like ART, enabling me to create robust, explainable, and adaptive models for a range of enterprise applications. In addition to AI, I possess strong DevOps skills, including working with Terraform, Ansible, and AWS, ensuring seamless deployment and scalability of AI models and solutions in cloud environments. I also have experience in backend development with Flask, MongoDB, and Jinja2, as well as system-level programming with Curses, allowing me to build full-stack solutions that integrate advanced AI capabilities with user-friendly interfaces.
Built an end-to-end AI/ML solution using LangChain, enhancing screening accuracy by 25%.
Architected a framework in Python/Pytest achieving 50X TAT reduction for Intel's IDM 2.0.
Used LLM to develop mutation testing for existing frameworks, boosting test coverage and reliability.
Real-time job monitoring tool using Python Flask and Curses with chatbot integration.
Developed a SaaS solution for secure computing attestation with scalable backend systems.
Developed Java-based data-loading modules for MongoDB, automating large-scale data ingestion.
Designed REST APIs to interface with MongoDB collections, enabling seamless data access.
Conducted customer data analysis using NoSQL databases, generating actionable business insights.
Optimized complex database queries, reducing data retrieval times by 40%.
IBM ⢠Aug 2025
Intel ⢠Aug 2024
Intel ⢠Jul 2022
Credly ⢠Oct 2025
Credly ⢠Aug 2025
Credly ⢠May 2025
Udemy ⢠May 2025
O'Reilly ⢠Sep 2024
Credly ⢠Mar 2024
Udemy ⢠Sep 2023
Udemy ⢠Jun 2023
Udemy ⢠Apr 2023
Credly ⢠Apr 2023
The Linux Foundation ⢠Feb 2023
Udemy ⢠Jan 2023
Udemy ⢠Sep 2022
Udemy ⢠Jun 2022
Intel ⢠Mar 2022
Intel ⢠Feb 2022
Designing and building intelligent conversational agents that go beyond simple scripts. My agents utilize advanced NLP to understand context, intent, and nuance, delivering natural and engaging user experiences for customer support, virtual assistance, and more.
Implementing Retrieval-Augmented Generation (RAG) systems to supercharge your LLMs. by connecting them to your private data sources, I ensure your AI provides accurate, verifiable, and domain-specific answers, eliminating hallucinations and boosting reliability.
Tailored machine learning models and AI strategies to solve your unique business challenges, from predictive analytics to computer vision.
Developed a RAG-based chatbot for a large enterprise that reduced internal query resolution time by 60%. Integrated with Confluence and Jira to provide instant answers to technical questions.
Built an NLP pipeline to automatically extract key clauses and risks from legal contracts, saving the legal team 20+ hours per week on manual review.
Deployed a conversational AI agent for a SaaS platform that handles 40% of L1 support tickets autonomously, with seamless handover to human agents when needed.
"Varun's expertise in RAG systems is unmatched. He helped us unlock the value of our internal documentation in a way we didn't think was possible."
"The conversational agent Varun built for us transformed our customer support. Our users love the instant responses, and our team can focus on complex issues."
"Professional, knowledgeable, and easy to work with. Varun delivered our AI project ahead of schedule and exceeded our expectations."