Abhiraj Thakur
Open to work0 years experienceSoftware Engineer
Software Engineering student experienced in AI-driven backend services and web development.
Standing Rank
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Developer Badges
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Skills & Technologies
21 skillsWork Experience
Software Engineering Intern
PerceptEye
- Reduced manual operational overhead and improved workflow reliability by designing, building, and maintaining Python backend services for AI-driven automation.
- Improved system reliability and consistency of outputs by integrating LLM-powered components into backend pipelines with predictable outputs, well-defined service contracts, and production-grade performance.
- Enhanced accuracy, scalability, and usability of analytics dashboards by resolving frontend data integrity issues through implementation of correct pagination logic.
Projects
EngageAI
- Built an AI-powered video comparison platform that analyzes YouTube Shorts and Instagram Reels and generates actionable creator insights using RAG, LangGraph, and vector search.
- Improved answer relevance and traceability by implementing a source-grounded retrieval system with transcript chunking, semantic search, and citation generation across indexed video content.
- Designed a scalable AI infrastructure with Redis-backed caching and session persistence, asynchronous ingestion pipelines, and SSE-based response streaming to support low-latency conversational analysis.
Shipyard
- Built a multi-tenant deployment platform capable of automatically building and serving static sites on isolated subdomains by orchestrating Docker-based sandboxed build environments.
- Reduced deployment queue wait times by approximately 40% by building an asynchronous deployment pipeline using BullMQ and Redis for background job processing and worker-based task execution.
- Improved deployment observability by implementing real-time build log streaming using Redis Pub/Sub and Server-Sent Events (SSE), allowing users to monitor build progress and failures live.
ContractIQ
- Automated contract risk analysis for legal documents by building an AI-powered clause extraction and scoring pipeline using Google Gemini and structured JSON outputs.
- Improved analysis reliability and type safety by designing a shared TypeScript schema layer across frontend and backend using Turborepo monorepo architecture and Zod validation.
- Enabled instant contract insights through a drag-and-drop document analysis dashboard built with Next.js, supporting clause filtering, risk scoring and negotiation suggestions.
Leaderboard Standings
Leaderboard Position Pending
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Assessment Highlights
Assessments Not Completed
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AI Collaboration Score
AI Collaboration Score Pending
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Role Compatibility Profile
Role Compatibility Analysis Pending
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Achievements
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About Details
Professional Bio
Software Engineering student with experience in building AI-driven backend services and scalable web applications. Proficient in Python, TypeScript, and modern cloud infrastructure. Passionate about optimizing workflows and developing intelligent, reliable systems.
Master of Engineering in Computer Science Engineering
Chandigarh University (2024 - 2026)
Bachelor of Technology in Computer Science Engineering
Chandigarh University (2020 - 2024)