Onkar Jadhav
@onkarjadhav
Computer science student building ML and agentic AI systems with production focus.
IndiaWhat I'm looking for
I am a computer science undergraduate with strong hands-on experience designing machine learning systems, agentic AI platforms, and evaluation frameworks. I have built end-to-end pipelines for deep learning-based trading models and developed benchmark tooling to measure bias and behavior in LLM-based evaluators.
My work emphasizes robust data pipelines, reproducible evaluation, and production-ready integrations — from model architecture and loss engineering to dashboards, multi-model runtime selection, and web UIs. I collaborate well in teams, enjoy problem solving, and focus on measurable performance improvements and explainability.
Experience
Work history, roles, and key accomplishments
LLM Evaluation Researcher
Independent / Personal Projects
Dec 2025 - Present (6 months)
Developed CRITIQ-Bench to quantify evaluation bias in LLM judge systems, creating behavioral metrics and visualization tools to profile favoritism, harshness, constructiveness, and bias persistence across models.
Machine Learning Researcher
Independent / Personal Projects
Nov 2025 - Present (7 months)
Designed and implemented StockXpert, a multi-resolution deep learning system for 48 NSE equities that improved short-horizon return correlation by 12% versus baseline and delivered end-to-end inference, evaluation, and visualization pipelines.
Agentic Systems Engineer
Independent / Personal Projects
Dec 2025 - Jan 2026 (1 month)
Architected PromptForge, an agentic multi-agent prompt engineering platform integrating LangGraph, OpenRouter, FastAPI, and Next.js to enable recursive Creator–Critic workflows, multi-model selection, and production-ready UI for prompt optimization.
Education
Degrees, certifications, and relevant coursework
Pimpri Chinchwad College of Engineering
Bachelor of Technology, Computer Science
2022 -
Grade: 9.08 CGPA (Till 7th semester)
Pursuing a Bachelor of Technology in Computer Science with a 9.08 CGPA (till 7th semester), coursework and projects focused on machine learning, agentic systems, and full-stack development.
Shri Mhalsakant Junior College
Higher Secondary Certificate, Higher Secondary
Grade: 89.17%
Completed Higher Secondary Certificate with 89.17% under the Maharashtra State Board of Secondary and Higher Secondary Education.
Availability
Location
IndiaAuthorized to work in
Job categories
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