• Founding engineer building AI agents for the food distribution industry, focused on automating real customer workflows such as order intake, pricing validation, inventory checks, and ERP updates.

• Improved end-to-end agent reliability and task accuracy by ~70% by refining multi-agent coordination, decision logic, and LLM integration, directly impacting customer-facing outcomes.

• Designed MCP-based integrations for core data systems including Supabase and NetSuite, enabling agents to operate on live, production data with low latency and high correctness.

• Built a centralized tool registry to streamline how agents discover and use tools, reducing token usage by ~40% while improving response speed and cost efficiency.

• Implemented episodic and long-term memory to help agents retain context across interactions, resulting in more consistent, personalized, and actionable responses.

• Shipped fine-grained access controls and authentication for agents and tools, ensuring secure, tenant-aware execution while maintaining a smooth user and operator experience.

• I worked on enhancing GPU accelerated Inference times using frameworks like Nvidia Triton, DALI & RAPIDS. By implementing optimization techniques such as Quantization and Batching, I was able to significantly improve system performance and efficiency. Collaborating with cross-functional teams, I achieved remarkable reductions in latency and overall system performance, contributing to the success of the AIOps initiatives.

• Worked on Multi modal Biomedical Image registration using ECC and FFT Image transformations.

TA for CS 517 - Scientific Visualization

• Collaborating with Dr. Huang at SALT Lab to tackle hallucination and factuality loss in LLMs using knowledge graphs-based RAG systems.

• Analyzed conversational emotions within victim-dispatcher interactions for the VicSim project, aiming to glean insights into emotional dynamics.

• Finetuned LLama - 7B and NALLM using SFT to generate Neo4J Ciphers for Knowledge graph reconstruction.

• Proficient in GPT4, Llama 7B, RAGs, Langchain, Llamaindex, Langgraph, KGs, Pinecone, FAISS, etc

• Developed new features for Cisco’s configuration translation and configuration migration engine using ReactJS, and Django which resulted in a 30% increase in the adoption of Cisco products.

• Engaged in client interactions to design, deploy, and troubleshoot networks, while demonstrating expertise in configuring and managing network appliances such as Cisco switches, routers, firewalls, and cloud security solutions.

• Automated network deployments for global clients using frameworks such as Terraform & Ansible which reduced network deployment times by 70%.

• Obtained certifications such as CCNA, CCNP R&S, CCNP SCOR, DevNet, Meraki ECMS & AWS CSA.