Open to opportunities

Chandu Reddy

@chandureddy

AI/ML Engineer and LLM specialist delivering high-quality RAG, prompt evaluation, and production-ready datasets with measurable quality gains.

India

Message

What I'm looking for

I’m looking for a role where I can build and evaluate LLM/RAG systems, engineer high-quality datasets, and improve production workflows—while leading teams with strong QA. I want measurable impact, scalable engineering, and continuous quality improvement.

I’m an AI/ML Engineer and LLM Specialist with 1+ year of experience focused on LLM fine-tuning, advanced prompt engineering, and prompt evaluation. I build instruction-following datasets and engineer quality into every step of model-ready data creation.

As a Pod Lead, I mentor 10+ AI trainers and run structured feedback loops that reduced task rework by ~25% and improved submission quality by 30%+. I review 50+ multi-turn tasks weekly, resolve rubric discrepancies, and streamline review workflows to cut turnaround time by 20%.

In my LLM/data annotation work, I engineered multimodal VLA dataset pipelines at production scale, labeling 1,000+ system-interaction and workflow videos and achieving 98%+ QA pass rates. I author CoT reasoning traces and intent-driven prompt captions to align with instruction-following benchmarks, then validate compliance through rigorous evaluation.

I also deliver end-to-end AI solutions and supporting services—building a RAG-powered resume/job match chatbot that reduces manual review effort by 70%, and creating RESTful backend systems (e.g., appointment booking) with measurable error reduction. I bring team leadership, QA discipline, and scalable engineering practices to every deployment.

Experience

Work history, roles, and key accomplishments

Current

Pod Lead - AI Trainers

Current

Turing

Apr 2026 - Present (2 months)

Led and mentored a pod of 10+ AI trainers, reducing task rework by ~25% and increasing submission quality by 30%+. Reviewed 50+ multi-turn conversational tasks weekly, resolving rubric discrepancies and streamlining review workflows to cut turnaround time by 20%.

Team Leadership AI Training Prompt Evaluation Instruction Following Quality Assurance Multi Turn Conversational Tasks

LLM Engineer - Data Annotation

Turing

Sep 2025 - Apr 2026 (7 months)

Annotated Meta-aligned VLA datasets at production scale, labeling 1,000+ system-interaction and workflow videos to achieve 98%+ QA pass rate. Authored CoT reasoning traces and intent-driven prompt captions, then performed rigorous evaluation for instruction compliance and dataset consistency.

VLA Dataset Engineering Instruction Following Model Evaluation Human In The Loop QA

Backend Developer

PearlThoughts

Jul 2025 - Sep 2025 (2 months)

Built a Doctor Appointment Booking System using Django and MySQL, delivering REST APIs for scheduling, real-time availability, and patient records. Reduced booking errors by 40% through frontend validation.

Python Django Django REST Framework RESTful APIs MySQL Database Design Real Time Availability

Python LLM Engineer

Outlier AI

Aug 2024 - Jan 2025 (5 months)

Fine-tuned LLMs using hyperparameter optimization and advanced prompt engineering, improving output accuracy by 15–20% across multiple task domains. Integrated AI/ML solutions into distributed systems and ran performance experiments to validate scalable model deployment.

Fine Tuned LLMs Prompt Engineering Prompt Evaluation Distributed Systems AI Model Deployment