Biswajeet Kar
Applied Ai Engineer @Pareto AI
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WORK HISTORY
Applied Ai Engineer @Pareto AI
Building AI agent-based automation systems for large-scale annotation and model evaluation workflows. Some of my recent interesting work includes:• Architected a CustomGPT + Python backend orchestration layer integrating Claude CLI for automated code generation and validation.• Created a Tactical Agentic Coding workflow (plan → implement → test → review) with reusable templates and closed-loop verification.• Developed a prompt duplicate checker (embeddings + multi-dimensional LLM scoring) with configurable similarity thresholds.• Tech: Cursor, Claude CLI, GPT API/CustomGPT, Streamlit, AI Agents, MCP, RLVR, Model Evaluations.
EDUCATION
K.V No1 Bhubaneswar
High School, Science
K.V.NO. 1 Bhubanwswar
10th Board
École Polytechnique
Masters , Internet of things Innovation and Management Strategy (M1)
Silicon Institute of Technology (SIT), Bhubaneswar
Bachelor’s Degree, Computer Science
Conservatoire national des arts et métiers - Cnam
Master's degree, IoT and Computer Networks (M2)
SKILLS
ABOUT BISWAJEET KAR
I build the agent layer that builds the application. Backend engineer turned applied AI practitioner, working on agentic workflows, SFT/RLHF/RLVR pipelines, AI Orchestrators to ship production-ready software with minimal human intervention.\"I care less about writing code and more about building the systems that write and validate code at scale because leverage beats keystrokes.\"My recent work spans:• Applied AI & LLM automation (SFT, RLHF, SWE-bench style tasks)• CustomGPT + Python backends orchestrating Claude Code• Researching on spec-driven, closed-loop agentic SDLCs that ship features with minimal human touch• Backend systems in Python, Go, and Java across startups, enterprise, and remote teamsTech Stack:• Languages: Python, Go, Java, SQL• Backend: Flask, FastAPI, REST APIs, Microservices, RabbitMQ, Socket.IO / WebSockets• Databases: MongoDB, PostgreSQL, Oracle• AI / LLM Tooling: GPT API / Custom-GPT, Claude CLI, Context Engineering, Model evaluation workflows• DevOps / Tools: Docker, Git / GitHub\"Innovation and Curiosity is important.\"
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