Anmol Vijay Bhatia

This role turned AI/ML from a passion into my daily focus. I engineered the ATOLL Network Summarizer, a multi-agent LangGraph pipeline that shrank telecom data analysis from hours to seconds, and built a multi-agent NL-to-SQL system that translates natural language into self-validated database queries. To keep these systems safe and predictable, I shipped a custom MCP server to strictly sandbox agent execution and audit logging. Alongside hands-on development, I partnered directly with the Chief Solutions Officer to define the long-term AI product strategy.

Before shifting to AI, I spent over two years learning what enterprise scale really means while supporting a platform of 150,000+ users. My focus was on performance, security, and system reliability. I unblocked redundant API dependencies to plummet page load times from 40 seconds down to 2 seconds, rebuilt our Role-Based Access Control (RBAC) system from scratch, cutting unauthorized access incidents by 85%, and modernized a rigid legacy UI into customizable, user-driven dashboard widgets. I also engineered a batch-digest pipeline for transactional emails, eliminating rate-limiting bottlenecks and server strain.

I led labs for over 130 computer science students. Instead of passive lecturing, I anchored sessions around pair programming and Test-Driven Development (TDD) to build real-world coding habits early. My biggest emphasis was systematic debugging, coaching students to step back and isolate root causes methodically rather than guessing, whether they were untangling recursive logic, troubleshooting pointer arithmetic, or stress-testing custom data structures.

In my math and theory sections, I noticed students often mechanically followed formal proofs without truly grasping why they worked. To fix this, I flipped my approach, building intuitive, conceptual understanding first before introducing formal notation, which completely transformed their confidence. I also maintained a weekly feedback loop with lead instructors, tracking recurring student pain points to continually adapt and refine our upcoming sessions around what actually needed clarification.

My engineering background started with systems auditing and infrastructure health. I used tools like Burp Suite and Wireshark alongside custom scripts to hunt down web vulnerabilities and patch them proactively. I also evaluated older IT systems, leveraging Gartner market research to make a data-driven business case for executive modernization priorities.