I work at the intersection of cybersecurity, operational risk, and software engineering.
From SOC detection and logistics analytics to on-device privacy tools, I build systems that make complex work clearer and safer.
| Focus | What I’m working on |
|---|---|
| Role | Data Analyst Intern at Delhivery · Risk analytics and operational insights |
| Specialisation | Cybersecurity, on-device privacy, and software engineering |
| Building | On-device privacy tools, structural context for AI assistants, and full-stack products |
| Studying | M.Tech in Computer Science Engineering, specialising in Cyber Security |
Past work & technical leadership
SOC Intern · RailTel Corporation of India Limited
May 2025 – July 2025 · Gurugram, India
- Worked with Elastic SIEM across 500K+ daily security events; tuned EQL/KQL detection rules to reduce false positives by 15%.
- Automated threat intelligence enrichment and supported incident response, SOC procedures, and MITRE ATT&CK-mapped reporting.
Technical Lead · Parakram Sports Club, NFSU
February 2026
Led technical operations for university sports events and built KreedaScore for score tracking, schedules, and live updates.
Four projects across privacy, developer infrastructure, and everyday workflows.
Maskr: An on-device privacy guard that checks prompts and attachments for sensitive data before they reach AI chatbots. Published on the Chrome Web Store.
Codebase Architect: An MCP server that gives AI assistants structural context about a codebase through AST parsing, dependency graphs, and semantic search.
CampusNest: A student housing and roommate platform with listing discovery, verification workflows, compatibility matching, and real-time messaging.
KreedaScore: A sports-event dashboard for scores, tournament brackets, and medal tallies, with dedicated organiser and admin workflows.
More projects & experiments
- Satellite Telemetry: Isolation Forest anomaly detection, Flask, and Streamlit monitoring.
- SecureVault: Flask file management, encryption, and audit logging.
- Chess Analyser Pro: Computer vision for chess-piece classification and board reconstruction.
- Auditorium Booking Portal: Availability checks, booking requests, and admin approval.
- Phone Detection / Presence-controlled Lighting: Computer vision and Arduino experiments.
Complete skills & technologies
| Area | Skills & technologies |
|---|---|
| Security operations | Elastic SIEM · EQL/KQL · Threat intelligence · Incident response · MITRE ATT&CK |
| Application security | API security · Burp Suite · OWASP ZAP · Nuclei · Nmap · Cryptography |
| Languages | Python · TypeScript · JavaScript · SQL |
| Web & APIs | React · Next.js · Node.js · Express · Flask |
| Data & storage | PostgreSQL · Supabase · SQLite · LanceDB |
| AI & ML | MCP · Tree-sitter · Local embeddings · scikit-learn · PyTorch |
| Interfaces & tools | Streamlit · Tailwind CSS · Git · Docker · Linux · Vercel |
National Forensic Sciences University, Delhi
B.Tech completed · M.Tech in progress: Computer Science Engineering, Cyber Security specialisation.
Working toward Certified Ethical Hacker (EC-Council).
Public profile snapshot. Contributions follow GitHub’s rolling year; monthly bars cover the displayed calendar, with partial first and last months. Repository metrics cover public, owned, non-fork repos. Streaks count consecutive active calendar days.
Let’s connect about cybersecurity, privacy engineering, AI developer tools, or useful software.
Thoughtful engineering, from data to interface.