Aditya Bansal

Computer Science undergraduate · SWE Intern

Delhi, India

@aditya_bansal1

LinkedIn GitHub

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🎓 B.Tech in Computer Science and Technology at Guru Gobind Singh Indraprastha University · Graduating 2027

About

Computer Science undergraduate and software engineering intern with experience building AI-assisted applications, full-stack platforms, and production-oriented backend systems. Works with TypeScript, PostgreSQL, Redis, Docker, and modern web infrastructure.

Experience

SWE Intern

Ambiguity Labs

Jul 2026 – Aug 2026

Created Terminal-Bench / Project Terminus tasks from real open-source issues, packaging reproducible Docker environments, task instructions, tests, and reference solutions. Designed fail-to-pass and regression tests with automated verifiers and Oracle/NOP baselines. Debugged build, dependency, Git-state, and reproducibility failures across Docker/Linux environments, separating infrastructure issues from benchmark defects. Evaluated Codex and Claude solutions using Git, Bash, pytest, and repository-level checks.
Data Analytics Intern

IBM SkillsBuild

Jun 2024 – Aug 2024

Completed a 6-week Data Analytics internship with CSRBOX Foundation through the IBM SkillsBuild program. Performed data collection, cleaning, transformation, and visualization across structured datasets. Used Excel, SQL, Python, and IBM analytics platforms for data preparation and analysis workflows. Built dashboards and analytical reports to summarize findings and surface actionable insights.

Education

2027

B.Tech in Computer Science and Technology

Guru Gobind Singh Indraprastha University

Computer Science · 2027

Computer Science

Skills

<3 months

SQL JWT Oop Java Bash React Python PRISMA Bullmq Node.js Next.js Socket.io Express.js JavaScript TypeScript Advanced DBMS Computer Networks Operating Systems API Integration Understanding Data Structures and Algorithms

Tools / apps / platforms

3 to 6 months

Microsoft Excel

<3 months

Git Redis Docker GitHub Pytest Vercel MongoDB Postman Supabase PostgreSQL

Projects

GigFlow

React 19, Node.js, PostgreSQL, JWT

Engineered a full-stack gig marketplace using React 19, Node.js, PostgreSQL, and JWT-based authentication. Designed a dynamic bidding engine with automated workflow transitions for gig and proposal state changes. Implemented secure session management with HttpOnly cookies and input sanitization to reduce XSS/CSRF exposure. Optimized API and database performance through indexed relational schema design and query-focused backend improvements.
AtomicQueue

TypeScript, Node.js, React, MongoDB, Redis, BullMQ, Socket.IO, Turborepo

Architected a multi-tenant appointment booking platform using TypeScript, React, Node.js, MongoDB, and Turborepo. Engineered an atomic booking flow with MongoDB transactions to prevent concurrent double-booking. Implemented real-time slot synchronization with Socket.IO to keep availability consistent across users and concurrent booking sessions. Integrated Redis for rate limiting and session controls, with BullMQ handling asynchronous background jobs.
GigFlow

React 19, Node.js, PostgreSQL, JWT

Engineered a full-stack gig marketplace using React 19, Node.js, PostgreSQL, and JWT-based authentication. Designed a dynamic bidding engine with automated workflow transitions for gig and proposal state changes. Implemented secure session management with HttpOnly cookies and input sanitization to reduce XSS/CSRF exposure. Optimized API and database performance through indexed relational schema design and query-focused backend improvements.
AtomicQueue

TypeScript, Node.js, React, MongoDB, Redis, BullMQ, Socket.IO, Turborepo

Architected a multi-tenant appointment booking platform using TypeScript, React, Node.js, MongoDB, and Turborepo. Engineered an atomic booking flow with MongoDB transactions to prevent concurrent double-booking. Implemented real-time slot synchronization with Socket.IO to keep availability consistent across users and concurrent booking sessions. Integrated Redis for rate limiting and session controls, with BullMQ handling asynchronous background jobs.
Skeptiq

TypeScript, PostgreSQL, Supabase, AI/LLM, Zod

Built an AI-assisted market-validation platform running synthetic focus groups of 3–30 personas across audience segments. Developed a multi-stage AI pipeline for persona generation, market reactions, pricing analysis, clustering, deliberation, and report synthesis. Built a resilient async job system with PostgreSQL queueing, retries, checkpointing, recovery, and inference-provider failover. Implemented pricing and adoption insights, evidence-backed reports, realtime updates, persona Q&A, simulations, and shareable exports.

⚽ Extracurricular activities

Operations Head, TechXtract Society

Student society leadership role.

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