B.E. Computer Science & Engineering
MS Ramaiah Institute of Technology
2023 – 2027
// initialising
Engineer. Builder. ML Enthusiast. Digital dimension explorer.
Final-year CS student who builds systems, breaks problems into pieces, and occasionally teaches machines to find patterns. Backend, ML, and interfaces that don't feel like waiting rooms.
6
Projects
50+
Commits
ML
Enthusiast
// WHO_AM_I



THE ENGINEER
Builds systems that scale. Clean architecture, dirty problem-solving.
INVENTORY
STATS
POWER
BUILD SCALABLE SYSTEMS
$ whoami→builder-of-things
$ cat role.txt→engineer • ml enthusiast • problem solver
$ uname -a→Next.js • Python • TypeScript • Node.js
$ uptime→final year CS student, still shipping
$ git log→see projects ↓
$ cat interests→systems, data, interfaces, tea
$ echo $STATUS→OPEN_TO_OPPORTUNITIES
$|
// CREDENTIALS.log
B.E. Computer Science & Engineering
MS Ramaiah Institute of Technology
2023 – 2027
HSC (Science)
CBSE
2021 – 2023
SSC
CBSE
2021
// EQUIPMENT_MANIFEST.hud
// SELECTED_WORK
// A selection of things I've built. Each one taught me something different.
$ python graph_engine.py build
[graph] parsing 3 .tf files
[graph] 12 nodes · 8 edges built
[risk] chain: EC2 → RDS (public)
[rule] port 22 exposed → HIGH
[llm] Gemini enrichment → CRITICAL
findings: CRITICAL 2 | HIGH 4
▋
IaC security analyzer that scans Terraform & Kubernetes in PRs. Builds network topology graphs, scores blast-radius risk with deterministic rules + LLM enrichment, and posts autofixes back to GitHub.
$ yarn dev
[heartbeat] scanning 47 convos
[nlp] unanswered_query × 3
[nlp] commitment_made × 1
[soul] alice.soul.md updated
[agent] DRAFT via Claude 3.5
[ws] pushed to dashboard
▋
Autonomous AI agent that monitors WhatsApp, Telegram & Gmail for unanswered follow-ups. Uses NLP classification, persistent relationship memory, and Claude 3.5 to draft replies in your tone.
$ pytest tests/ --cov=app
36 passed · 86% coverage
$ docker compose up -d
✓ api healthy :8000
✓ parser healthy :8001
POST /validate-chart
→ score: 100 | status: "valid"
▋
Production-grade DevSecOps API that validates charts against their stated objectives. 4-dimension scoring engine catches misleading visuals — wrong chart types, truncated axes, unreadable slices.
$ docker ps --format "table {{.Names}}\t{{.Status}}"
NAMES STATUS
api-gateway Up 2h (healthy)
auth-svc Up 2h (healthy)
monitor-daemon Up 47m (healthy)
$ curl localhost:3000/health
{"status":"OK","uptime":7234}
▋
Microservice monitoring & automation. Real-time health tracking across distributed services with alerting.
$ psql -U admin dbslab
psql (15.2) — Type \help for help.
dbslab=# SELECT COUNT(*) FROM transactions;
count: 84291
dbslab=# EXPLAIN ANALYZE SELECT * FROM orders
Seq Scan (cost=0.00..1842.91)
Planning: 0.4ms Exec: 12.8ms
▋
Advanced database system implementation. Query optimization, relational design, and performance benchmarking.
$ npm run dev
> smart-expense@1.0.0 dev
✓ compiled in 847ms
✓ ready on http://localhost:3000
[db] MongoDB connected
[app] 3 budgets loaded
[ws] live updates active
▋
Expense tracking with visual dashboards and category analytics. Built for clarity under financial chaos.
// THERE_IS_MORE
The operator exists beyond the terminal. Enter if you are curious.
// CONTACT
Open to opportunities, collaborations, and interesting problems.