surface
ANALYST
ReconAI
An autonomous attack surface assessment platform. Specialized agents coordinate security scans, make sense of the results, and stream findings as they happen.
I’m Anmol, a software engineer in the making working across backend systems, applied AI, and cybersecurity. I like understanding how things work, then making them work better.

I’m a final-year Computer Science student at IIIT Pune. My work sits at the intersection of software engineering, AI, and security, from orchestrating agentic systems to building safer, isolated developer environments.
I learn by building, testing my assumptions, and paying attention to the details beneath the interface. The result is software that aims to be useful, understandable, and resilient.
A little more on GitHubAn autonomous attack surface assessment platform. Specialized agents coordinate security scans, make sense of the results, and stream findings as they happen.
anmol@workspace ~/project
$ docker sandbox --memory 128m
✓ isolated container ready
✓ browser terminal connected
$
A browser-based development environment with a live terminal and its own isolated container for every user, built with resource limits and observability in mind.
A work in progress exploring how a hypervisor fits together on AMD hardware. I’ve made partial progress and am still learning the low-level details as I build.
An asynchronous, event-driven Layer 4 load balancer in modern C++20, distributing connections across backends with round-robin selection.
An AI-powered content moderation project exploring how automated systems can help identify and triage unsafe content.
A computer vision project that uses eye-closure signals to monitor engagement during online classes and trigger alerts for prolonged drowsiness.
A selection of independent and open-source work. More experiments and code on GitHub ↗
I bring a security mindset to the systems I build and an engineering mindset to the problems I explore.
Backend services, real-time applications, and systems designed with clear boundaries and room to grow.
Agentic workflows and LLM-powered tools that connect models to useful context, actions, and results.
Adversarial testing and responsible disclosure, with a practical focus on making software safer.
Growing through hands-on work, open-source collaboration, and the communities I help build.
Full résuméHelped lead the club and deliver Nexus 2.0, a 24-hour hackathon. Coordinated screening for 1,000+ registrations and shortlisted 40+ teams; also maintained the club website used by 1,000+ students.
Part of the core team coordinating placement drives with 30+ companies, including scheduling, venue coordination, and on-ground logistics.
Building strong foundations in computer science while exploring systems, machine learning, and security through projects.
Some markers along the way, from the security community and the work I care about.
25+ vulnerabilities disclosedResponsible disclosure across production web applications
Global Rank 80 · Apoorv CTF 2026Among 2,000+ teams · web, forensics, and cryptography
Top 3% on TryHackMeAmong 8M+ learners worldwide
Open source · AsyncAPI InitiativeThree merged pull requests improving UI and configuration
1st place · Quine Hackathon (2023)Won among 100+ participating teams
I’m open to thoughtful collaborations, challenging projects, and opportunities to learn and contribute.