B.E. CSE, Thapar Institute 2026 · CGPA 8.4/10

Abhay Bansal builds backend systems, AI workflows, and developer tooling.

Backend-focused software engineer who built AI workflow infrastructure across Fastify microservices at Adaptware using TypeScript, Node.js, PostgreSQL, Redis, Socket.IO, and LangGraph, plus Go REST services and full-stack Next.js apps. LeetCode Guardian (2200+, top 1% globally) and CodeChef 4-Star (1916+) with 800+ DSA problems solved.

Engineering signal

Recruiter scan

01 microservices

Monorepo platform with 2 independently deployable Fastify services, PostgreSQL schemas, Redis workers, React apps, and shared npm packages

02 ai workflows

Centralized TypeScript integration layer enabling 20+ Orion AI workflows across 12+ recruiting and workflow modules

03 real time

Socket.IO workflow execution with JWT auto-refresh, request correlation, connection reuse, timeouts, and throttling for 50 parallel AI executions

04 stateful ai

LangGraph checkpoints, Redis, thread identifiers, and persisted execution IDs across 5+ conversational flows

05 go backend

Brand invitation service with authorization, audit logs, OpenAPI docs, Docker, CI, and unit tests

06 coding proof

LeetCode Guardian 2200+ (top 1% globally), CodeChef 4-Star 1916+, 800+ DSA problems, multiple global top-200 contest finishes

GoTypeScriptFastifyNode.jsReactNext.jsPostgreSQLRedisLangGraphSocket.IODocker

20+

AI workflows enabled across recruiting and workflow modules

50

parallel AI executions supported per backend instance

1000+

generated expense cases used to validate settlement math

800+

DSA problems solved across coding platforms

Experience

AI workflow integrations inside production microservices.

Five months of engineering internship work centered on TypeScript backend integrations, real-time AI workflow execution, persisted conversational state, and recruiter-assist systems.

Software Engineering Intern

Adaptware Solutions Pvt Ltd.

Mar 2026 - Jul 2026

Chandigarh, India

01

Developed recruiting and AI-workflow features in a monorepo of 2 independently deployable Fastify microservices, with separate PostgreSQL schemas, Redis-backed workers, and shared npm packages.

02

Engineered a TypeScript integration layer to the Orion AI service, enabling 20+ AI workflows across 12+ modules including resume processing, job creation, candidate screening, assessments, and interviews.

03

Built Socket.IO workflow execution with concurrency throttling, supporting up to 50 parallel AI runs per backend instance.

04

Added JWT auto-refresh, request correlation, connection reuse, and timeouts, keeping AI socket sessions authenticated across long-running executions.

05

Implemented multi-turn workflows with LangGraph checkpoints and Redis, preserving state across 5+ conversational flows such as job intake, resume building, and application screening.

06

Integrated sentiment analysis into live interviews every 30 seconds, streaming results to interviewers via Socket.IO.

07

Integrated recruiter-assist live interview analysis every 2 minutes, persisting insights to PostgreSQL.

Featured projects

Three systems with backend depth recruiters can inspect.

Focused on inspectable systems with production-style workflows, backend architecture, and clear implementation proof.

2026

AE Brand User Invitation System

Production-ready Go backend service for brand user invitation and self-service onboarding, supporting 6+ user-management operations.

GoREST APIsDockerOpenAPIGitHub Actions
01 / HTTP API
02 / Authorization
03 / Service layer
04 / Admin adapters
05 / Audit log

Implementation proof

  • Built brand user invitation, self-service onboarding, and 6+ user-management operations.
  • Implemented authorization, request validation, duplicate-user handling, and multi-persona support.
  • Added audit logging, Docker setup, OpenAPI documentation, CI pipelines, and unit tests.

2026

DevSquad MCP

NPM-based MCP server that converts vague coding prompts into structured workflows for Claude Code, Codex, Cursor, and Antigravity.

MCP ServerTypeScriptNode.jsnpmAI Agents
01 / Prompt classifier
02 / Workflow router
03 / Role tasks
04 / Review gates
05 / Final checklist

Implementation proof

  • Built a prompt classification engine with 3 execution paths.
  • Added rule-based review gates for safer AI-assisted changes.
  • Covered risky domains including auth, payments, databases, deployments, and secrets.

2026

Smart Expense Splitter

Full-stack financial workflow platform supporting Equal, Exact, Percentage, and Itemized splits with precise settlement logic.

Next.jsTypeScriptPostgreSQLNextAuthDocker
01 / API routes
02 / Services
03 / PostgreSQL
04 / Settlement engine

Implementation proof

  • Engineered 4 split modes: Equal, Exact, Percentage, and Itemized.
  • Validated penny-accurate settlement behavior across 1000+ generated expense cases.
  • Implemented a greedy settlement algorithm to minimize transactions in complex groups.

Technical stack

Skills grouped by the work recruiters actually evaluate.

Languages

C++GoTypeScriptJavaScriptSQL

Backend & Realtime

Node.jsFastifyREST APIsMicroservicesSocket.IO / WebSocketsJWT AuthenticationOpenAPILangGraph

Frontend & Databases

ReactNext.jsPostgreSQLRedis

DevOps, Tools & Testing

DockerGitHub Actions (CI/CD)AWS EC2AWS S3GitLinuxPostmanUnit TestingIntegration TestingGo testing
Data Structures and AlgorithmsOperating SystemsDBMSComputer NetworksOOP

Competitive proof

Contest results that back the engineering work.

LeetCode Guardian with a 2200+ contest rating (top 1% globally) and CodeChef 4-Star at 1916+; 800+ DSA problems solved.

Global Rank 136 and 176 in LeetCode Weekly Contests, top 1% among 30,000+ participants.

Global Rank 25 in CodeChef Starters 216 Division 2 among 20,000+ participants.

INR 3 Lakh Merit Scholarship by Thapar University for academic excellence.

Recruiter contact

Open to full-time backend and software engineering roles.

Chandigarh, IndiaImmediate Joiner
Download Resume