---
title: "Kushal K P - Data Scientist in Bengaluru | Tal"
description: "Meet Kushal K P, Data Scientist | LLM Fine-Tuning & GenAI Engineer | Agentic AI | LoRA/QLoRA | vLLM | LLM Specialist based in Bengaluru. AI stack includes aistudio, anthropic apis, and cursor."
image: "https://tal.club/meet/kushal-k-p/share-image"
---

# Kushal K P on Tal

## Headline

Data Scientist \| LLM Fine\-Tuning & GenAI Engineer \| Agentic AI \| LoRA/QLoRA \| vLLM \| LLM Specialist

## About

I’m a Generative AI Engineer & LLM Specialist leading the design and deployment of production\-grade AI systems that drive real business impact\. I build agentic pipelines, RAG systems, custom fine\-tuned LLMs, and high\-throughput automation that cut costs, improve speed, and scale reliably\. I’ve saved 70% infra costs, reduced screening time by 60%, and optimized processing speeds by 30% by engineering fast, lean, and enterprise\-ready AI solutions\. I own the end\-to\-end LLM lifecycle—from dataset curation, tokenization, and instruction tuning \(LoRA/QLoRA, PEFT\) to automated evaluation, quantization, and deployment\. I specialize in taking open\-weight models \(e\.g\., Llama, Gemma, Mistral\) and adapting them for domain\-specific production use cases\. Core Technical Competencies: LLM Fine\-Tuning & Customization: Full Fine\-Tuning, LoRA/QLoRA, PEFT, Instruction Tuning, Dataset Curation, Evaluation\. GenAI & Agentic Architectures: Agentic Pipelines, LangChain, Hybrid RAG \+ Fine\-Tuning, Vector Databases, Prompt Engineering\. I specialize in taking AI ideas from strategy → architecture ‭→ production ‭→‬ scale\. Open to leading impactful work in Generative AI, LLM Engineering, and Enterprise Automation\.

## Location

Bengaluru

## AI stack

aistudio

anthropic apis

cursor

hugging face

langgraph

LM Studio

## Work experience

Data Scientist at Rangam, Jun 2024 \- Present · 2 y 3 mo, Bangalore\- Remote, • Designed and deployed modular, production\-grade LLM systems for recruitment automation within TalentArbor, including resume parsing, job matching, and candidate evaluation workflows\. • Owned the fine\-tuning lifecycle for domain\-specific models using open\-weight LLMs \(such as Llama and Gemma\)\. Managed dataset curation, tokenization, instruction tuning, and parameter\-efficient techniques \(LoRA/QLoRA, PEFT\) to improve model performance over baseline LLMs\. • Built production AI tools using OpenAI API, LangChain, RAG, and prompt chaining, incorporating robust failure recovery, fallback logic, and real\-world usability\. • Designed model evaluation workflows combining automated benchmarks with human\-in\-the\-loop review\. Collaborated closely with HR and product teams to test model iterations based on user feedback, significantly improving tool adoption, accuracy, and outcomes\. • Quantized and optimized fine\-tuned models for production inference using frameworks like vLLM and SGLang\. Integrated intelligent microservices with internal systems using FastAPI, MySQL, JWT authentication, and AWS/GCP APIs\.

Data Analyst at AlmaBetter, Jan 2023 \- Jun 2024 · 1 y 5 mo, Remote, Developed end\-to\-end ML/NLP projects across domains like text classification, time series forecasting, and recommendation engines\. Gained strong practical understanding of AI evaluation, deployment, and optimization in sensitive domains\.

## Education

Bachelor of Technology \- BTech, Computer Science, CMR University

[View the original profile](https://tal.club/meet/kushal-k-p)

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