Portrait of Avesh Pathak

Avesh Pathak

Founding Software Engineer
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About

  • I'm Avesh Pathak, a backend and full-stack developer and the founding engineer at NextGen-CTO. As the startup's sole engineer, I turn product ideas into working software, from architecture and database design to deployment and production support.
  • I'm building an ed-tech platform with a learning management system and two admin dashboards, supporting 2M+ monthly requests at 99.9% uptime. My work brings together the systems behind the product: authentication, payments, learning workflows, and the interfaces people use every day.
  • My core stack is TypeScript, Node.js, PostgreSQL, and Supabase, with React and Next.js on the frontend. I enjoy owning a problem end to end, understanding what people need, making practical engineering decisions, and staying close to the product after it ships.

Contributions

1,386 contributions in the last year on GitHub

@avesh-pathak

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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
  • Delivered production-ready full-stack features end to end: requirements analysis, technical planning, frontend and backend development, testing, and deployment.
  • 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.
  • Improved application performance and reliability through SQL query optimization, backend improvements, API debugging, and production issue resolution.
  • Contributed to software architecture and database design, helping establish foundational structures for scalable application development.
  • Supported engineering delivery and technical coordination by guiding developers, reviewing implementations, and resolving development blockers to keep features moving toward production.
  • TypeScript
  • React.js
  • Next.js
  • Node.js
  • PostgreSQL
  • Selected from applicants across India for Amazon ML Summer School 2025, an advanced machine learning program taught by Amazon scientists.
  • 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.
  • Applied the concepts in guided sessions and case studies on how ML systems are designed and operated at scale.
  • Built intuition for modern ML workflows, from training and evaluation to real-world problem framing.
  • Python
Hexagon Consultancy Services logo

Hexagon Consultancy Services

  • Built a real-time AI voice bot using Vapi to automate hotel bookings, customer queries, and reservations.
  • 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.
  • Iterated on conversational flows and integrations using performance data, keeping the automation production-oriented.
  • Python
  • SQL

Projects

Algorithm Laboratory website capture

Algorithm Laboratory

Built

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.

ReactTypeScriptDSA
LMS Platform website capture

LMS Platform

Live

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.

ReactNode.jsMongoDBFirebaseREST APIs

LegalEase AI

Built

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.

JavaScriptHTML5CSSGemini API

Video Analytics Engine

Built

Watch-Time Telemetry · Built

Watch-time telemetry for a client that cannot be trusted: server-recomputed unions of raw ranges, two independent layers of idempotency, and a rebuildable projection that can audit, repair and verify its own drift in bounded pages.

TypeScriptNode.jsSQLiteKafkaVitest

Speech to Sign Language

Built

Telugu → ISL · Built

Telugu speech to Indian Sign Language: 143 audio features into a residual BiLSTM with attention, plus a dictionary-first runtime that plays ordered ISL glosses and falls back to a text card instead of dropping an unknown sign.

PythonTensorFlowLSTMSpeech RecognitionNLP

Skills

01

Languages

CTypeScriptJavaScriptPythonSQL
02

Frontend

React.jsNext.jsTailwind CSSshadcn/uiRadix UIGSAPFramer MotionRechartsTanStack TableHTML5CSS
03

Backend & APIs

Node.jsFastAPIFlaskREST APIsGraphQLServer ActionsWebhooksZodPostgREST RPCs
04

Data & Infra

PostgreSQLMySQLSupabaseSupabase StorageSupabase RealtimeDatabase MigrationsMongoDBFirebaseVercelAWSDockerlearningKafkalearning
05

Auth & Security

Supabase AuthJWT AuthenticationOAuth 2.0Google OAuthGitHub OAuthRole-Based AccessRow-Level SecurityMulti-Tenant IsolationSession ManagementHMAC VerificationAudit Logging
06

Integrations

RazorpayZoom APITPStreamsYouTube APIGitHub APISendGridResend
07

AI

Artificial IntelligenceMachine LearningDeep LearningCNNRNNLSTMNLPAgentic CodingVapi
08

Analytics

PostHogGoogle Analytics
09

Scale & Performance

IndexingComposite IndexesQuery TuningCachingCache TagsCursor PaginationRate Limitingk6 Load TestingAnalytics Rollups
10

Testing & Tools

Unit TestingVitestReact Testing LibraryPlaywrightESLintPrettiernpmGitGitHubDebugging

Education

  • GITAM University, Hyderabad

    B.Tech in Computer Science and Engineering · CGPA 8.24 / 10.0

    Aug 2022 – May 2026

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).

Global reach

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“Make it work, make it right, make it fast.”
Kent Beck

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© 2026. Crafted in Hyderabad, India.