Open to full-time roles
backend · full-stack

About
- As Founding Software Engineer at NextGen-CTO, I build an ed-tech platform end to end: an LMS plus two admin dashboards, 2M+ requests a month at 99.9% uptime, zero critical incidents.
- I'm a Computer Science graduate with a soft spot for fundamentals: DSA, OOP, and code that's still clean a year later.
- Backend-first: Node.js, FastAPI, REST APIs, PostgreSQL and Supabase, schemas, auth, RBAC, payments, and the indexing and pagination that keep dashboards fast.
- Every commit faces 5000+ automated tests through a pre-commit hook, so regressions are caught before they reach the repository.
- Before this, I built a real-time voice bot at Hexagon and spent a summer in Amazon's ML Summer School. I like shipping, learning, and the details that make products feel effortless.
Contributions
1,317 contributions in the last year on GitHub
@avesh-pathakConnect
Experience
- Architected and built 3 applications as the startup's sole engineer: a Learning Management System and two administrative dashboards, owning system architecture, database design, full-stack development, testing, deployment, and production operations.
- Optimized REST API performance under heavy traffic by identifying 2–3-second latency spikes through k6 load testing, then adding caching, pagination, and response compression to reduce backend overhead and improve scalability.
TypeScript
React.js
Next.js
Node.js
PostgreSQL
Supabase
- REST APIs
- Unit Testing
- Delivered production-ready full-stack features end to end: requirements analysis, technical planning, frontend and backend development, testing, and deployment.
- Built core application functionality across frontend interfaces, REST APIs, backend services, PostgreSQL databases, authentication, and dashboards to support essential product workflows.
TypeScript
React.js
Next.js
Node.js
PostgreSQL
Git
- Selected from applicants across India for Amazon ML Summer School 2025, an advanced machine learning program taught by Amazon scientists.
- Covered supervised learning, deep learning, generative AI, reinforcement learning, sequential learning, and causal inference.
Python
- Machine Learning
- Deep Learning
- Artificial Intelligence
- NLP

Hexagon Consultancy Services
- Built a real-time AI voice bot using Vapi to automate hotel bookings, customer queries, and reservations.
- Shipped the backend services, APIs, and dashboards for call logs, bookings, and bot performance.
Python
- Vapi
- SQL
- NLP
Projects
Algorithm Laboratory
DSA Visualizer · Built
An interactive visualizer covering 18 algorithm topics, each animated as a factory machine moving numbered boxes along a belt, with live counters for comparisons, swaps, and passes that make complexity and optimization something you watch.
LMS Platform
Learning Platform · Live
A multi-role learning platform with student and mentor workflows, protected routing, and role-based access control. Meeting sessions, squads, dashboards, and tracking sheets, plus an Excel/CSV ingestion engine, FCM notifications, and Razorpay payments. Handled 8,000+ page visits on Vercel, kept fast with indexing, pagination, and caching.
LegalEase AI
Legal Assistant · Built
An AI legal assistant where users upload PDFs and ask questions, powered by the Gemini API with plain-language answers, clause extraction, risk highlighting, and summarization. An audio diarization and role-labeling pipeline turns courtroom recordings into structured, speaker-wise insights.
Stack
Education
GITAM University, Hyderabad
B.Tech in Computer Science and Engineering · CGPA 8.24 / 10.0
Achievements
- Selected for Amazon ML Summer School 2025, an advanced machine learning program taught by Amazon scientists (Aug 2025).
- Secured 3rd place in an online hackathon among 80+ teams, as a solo participant (Jan 2025).
- Led the team to a Top 5 finish in the college-level Smart India Hackathon (Sep 2024).
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If you've read this far, you might be interested in working with me. Full-time roles, freelance work, or just talking shop.
Get In Touch“Make it work, make it right, make it fast.”



