Pary vendan
@paryvendan
I build AI-powered full-stack platforms and C++ language runtimes.
What I'm looking for
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
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%.
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.
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
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
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.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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