I’m looking for a role where I can work with a strong and collaborative team, learn from experienced people. I’d like the opportunity to explore different technologies and areas of work, take on complex and meaningful problems, and broaden my experience across different roles and tech stack.

Parth Kulshreshtha
@parthkulshreshtha
AI Engineer building LLM evaluation frameworks, agentic pipelines, and model serving infrastructure with vLLM, and multi-agent orchestration.
What I'm looking for
Much of my current work is on evaluating LLMs and the work they produce in the finance domain: designing the rubrics models are graded against, running the evaluations, and building the infrastructure those runs sit on. I also work on LLM-as-judge systems for grading model-written code, agentic quality pipelines that review annotation data, and reinforcement learning environments with verifiable rewards.
First author on an ACM paper on LLM-as-judge evaluation of enterprise code (AI-SQE 2026 at ICSE), and co-author on an ICML 2026 position paper on quality assurance timing in annotation pipelines.
Experience
Work history, roles, and key accomplishments
Built an LLM-as-judge framework for enterprise code evaluation, measuring performance gaps across public benchmarks and internal tasks. Developed screening systems for video annotation quality and evaluated AI agents on finance tasks.
Developed and optimized backend APIs using Python, Flask, and PostgreSQL, ensuring seamless data integration with frontend systems and improving system reliability. Designed and implemented scalable backend systems leveraging distributed task queues (Celery, Redis) to enable concurrent executions and improve overall system performance.
AI/ML Intern
LLMate
May 2023 - Jul 2023 (2 months)
Integrated AI into web and mobile applications across two projects, including an AI Tutor chatbot for CBSE exam preparation and a WhatsApp bot for Google Calendar scheduling. Enhanced teamwork skills and embraced new concepts.
Education
Degrees, certifications, and relevant coursework
BML Munjal University
Bachelor of Technology, Computer Science and Engineering
2021 - 2025
Grade: 8.74/10.0
Pursued a Bachelor's degree in Computer Science and Engineering, achieving a cumulative GPA of 8.74/10.0.
Tech stack
Software and tools used professionally
Postman
GitHub
Kubernetes
Azure Kubernetes Service
NumPy
Pandas
PostgreSQL
OpenCV
Redis
Python
scikit-learn
FastAPI
asyncio
Linux
Elasticsearch
pytest
Docker
SQL
Hugging Face
LangChain
Weights & Biases
Polars
Pydantic
Foundry
vLLM
Hugging Face Spaces
RunPod
Ragas
Agentic
OpenRouter
uv
PEFT
Sentence Transformers
Azure AI Foundry
Availability
Location
Authorized to work in
Skills
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