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Pary vendanPV
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Pary vendan

@paryvendan

I build AI-powered full-stack platforms and C++ language runtimes.

India
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What I'm looking for

I'm looking to build impactful full-stack and AI-powered products, solve challenging engineering problems, and grow through hands-on work with modern web technologies, machine learning, and collaborative teams.

I've built AI-powered platforms that automate data labeling and financial analysis, using MERN, Next.js, Node.js, Redis, TensorFlow.js, and OpenAI and Gemini APIs.

My automated data-labeling dashboard reduced annotation time by 80–90% through confidence-driven GPT predictions, adaptive batch processing, and human review routing. I also architected a financial analysis platform that processes 10+ sources per query, delivers 20x faster responses through Redis caching, and streams 5K+ character analyses in real time.

I also built a C++ stack-based bytecode virtual machine from scratch, covering lexical analysis, recursive-descent parsing, AST generation, bytecode compilation, and execution. Beyond projects, I'm a three-time hackathon winner and have led large student communities and a 1,200+ participant national hackathon.

Experience

Work history, roles, and key accomplishments

PP

AI-Powered Automated Data Labeling Dashboard

Personal Project

Built an AI automation platform that reduced annotation time by 80-90% using OpenAI GPT and adaptive batch processing. Auto-approved high-confidence predictions and routed edge cases to humans, reducing manual review workload by 85%.

PP

BytecodeVM Interpreter Project

Personal Project

Built a C++ stack-based bytecode virtual machine from scratch, implementing a complete 5-stage interpreter pipeline including lexical analysis, parsing, AST generation, bytecode compilation, and VM execution. Developed support for 10+ language features such as arithmetic, variables, control flow, functions, and scope management.

PP

AI-Powered Financial Analysis Platform

Personal Project

Architected an AI-powered financial analysis platform processing 10+ sources per query with TensorFlow.js semantic filtering, achieving 20x faster responses via Redis caching and real-time WebSocket streaming. Engineered a full-stack application with Next.js, Node.js, and Socket.IO, supporting document uploads and multi-timeframe stock analysis.

Education

Degrees, certifications, and relevant coursework

SRM University logoSU

SRM University

Bachelor of Technology, Computer Science and Engineering

2022 -

Grade: 8.44/10.0

Pursuing a B.Tech in Computer Science and Engineering with a CGPA of 8.44/10.0. Participated in a semester abroad at INTI International University, Malaysia.

INTI International University logoIU

INTI International University

Semester Abroad, Computer Science and Engineering

Grade: 3.3/4.0

Completed a semester abroad as part of the B.Tech program, achieving an SGPA of 3.3/4.0.

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