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