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V
Varanasi Abhiram

Varanasi Abhiram

AI Engineer - LLM Fine-tuning and Prompt Engineering

India flagHyderabad, India
Expert

Key Skills

Software

No software listed

Top Subject Matter

Large Language Models (LLMs)
Text Generation
Legal Services & Contract Review

Top Data Types

TextText
ImageImage
DocumentDocument

Top Task Types

Fine-tuningFine-tuning

Freelancer Overview

AI Engineer - LLM Fine-tuning and Prompt Engineering. Brings 6+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Internal and Proprietary Tooling. Education includes Bachelor of Technology, University of Petroleum and Energy Studies (2022) and Higher Secondary Certificate, KCP Siddhartha Adarsh Residential Public School (2018). AI-training focus includes data types such as Text and labeling workflows including Fine-tuning.

Expert

Labeling Experience

AI Engineer - LLM Fine-tuning and Prompt Engineering

TextFine Tuning
I was responsible for fine-tuning large language models, including Llama2, to perform specialized instruction-based tasks. My work included data preparation, prompt engineering, and crafting datasets to improve few-shot learning. This fine-tuning enabled the models to better respond to specific instructions and enhanced their generalization capabilities. • Developed and implemented pipelines for model finetuning and inference. • Engineered prompts and incorporated few-shot learning examples. • Quantized large models for efficient deployment and cost optimization. • Improved model output quality through iterative training and evaluation.

I was responsible for fine-tuning large language models, including Llama2, to perform specialized instruction-based tasks. My work included data preparation, prompt engineering, and crafting datasets to improve few-shot learning. This fine-tuning enabled the models to better respond to specific instructions and enhanced their generalization capabilities. • Developed and implemented pipelines for model finetuning and inference. • Engineered prompts and incorporated few-shot learning examples. • Quantized large models for efficient deployment and cost optimization. • Improved model output quality through iterative training and evaluation.

2023 - Present

Education

U

University of Petroleum and Energy Studies

Bachelor of Technology, Computer Science and Engineering with Specialization in Artificial Intelligence and Machine Learning

Bachelor of Technology
2018 - 2022
K

KCP Siddhartha Adarsh Residential Public School

Higher Secondary Certificate, Science

Higher Secondary Certificate
2016 - 2018

Work History

D

Dvimedha

AI Engineer

Hyderabad
2023 - Present
C

Celebal Technologies

Associate Data Scientist

Hyderabad
2021 - 2023