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Tulasi Nallamolu

@tulasinallamolu

AI/ML Engineer specializing in LLM fine-tuning and RAG systems.

India
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What I'm looking for

I seek a collaborative role building and deploying LLM-driven products, emphasizing reproducible ML pipelines, RAG systems, and opportunities for technical growth in cloud and MLOps.

I am an AI/ML Engineer with 1.5 years of hands-on experience building machine learning pipelines, fine-tuning large language models, and delivering front-end solutions that connect models to users.

My work includes fine-tuning LLaMA 3.1 8B for Go code description and StarCoder2 for Java test-case generation, and implementing Retrieval-Augmented Generation architectures across varied document types.

I built end-to-end data pipelines for production-quality model evaluation and deployed AWS-based automation to collect mismatch data, along with designing React/Tailwind frontends to present AI-driven features to stakeholders.

I collaborate closely with cross-functional teams, prioritize reproducible pipelines and evaluation, and bring strong analytical thinking and problem-solving to deliver client-aligned AI/ML solutions.

Experience

Work history, roles, and key accomplishments

CA
Current

AI/ML Engineer Associate II

Jan 2024 - Present (1 year 8 months)

Fine-tuned LLaMA 3.1 and StarCoder2 for code description and test-case generation, designed and implemented RAG pipelines across document types, and delivered frontend UIs to meet client requirements.

Education

Degrees, certifications, and relevant coursework

SW

Shri Vishnu Engineering College for Women

Bachelor of Technology, Engineering

2019 - 2023

Completed a Bachelor of Technology program from 2019 to 2023 with coursework and projects related to AI/ML and software engineering.

TK

Tirumala Mahila Junior Kalasala

Intermediate, Intermediate (Pre-university)

Grade: 9.64 CGPA

Completed intermediate studies with a reported CGPA of 9.64.

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Tulasi Nallamolu - AI/ML Engineer Associate II - Capgemini | Himalayas