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NIKHILESH UserNU
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NIKHILESH User

@nikhileshuser

AI Software Engineer at RP-Tech International Solutions who improved LLM pipeline accuracy from 70% to 80% through evaluation-driven development.

India
Message

What I'm looking for

I aim to leverage my AI expertise to develop innovative and reliable solutions that address real-world challenges.

At RP-Tech International Solutions, I built a metrics module for production LLM agent evaluation, tracking latency, throughput, cost, and prompt-cache hit rate to support performance optimisation and anomaly detection.

I also led a structured evaluation of agent frameworks, comparing LangGraph, CrewAI, and a custom asyncio orchestrator. I synthesised a 500-contract evaluation corpus for reproducible testing.

I implemented the selected pipeline in Python and FastAPI, using Pydantic v2, pgvector RAG, and asynchronous orchestration. Evaluation-driven development improved accuracy from 70% to 80% and macro-F1 from 0.64 to 0.74.

At Midas Advisory, I built RAG pipelines with LangChain and LlamaIndex and developed FastAPI services for LLM-powered features. I hold a Master's degree in Artificial Intelligence from Queen Mary University of London, where my dissertation explored the relationship between temperature and creativity in large language models.

Experience

Work history, roles, and key accomplishments

RP-Tech International Solutions, Pune logoRP
Current

AI Software Engineer

Jan 2025 - Present (1 year 9 months)

• Built a metrics module for production LLM agent evaluation: captured per-stage timing and computed p50/p95/p99 latency, throughput, cost and prompt-cache hit rate from JSON logs enabling performance optimisation and anomaly detection.
• Led agent framework evaluation through structured benchmarking: compared LangGraph, CrewAI and a custom asyncio orchestrator across performance characteristics,

Midas Advisory logoMA

Generative AI Intern

Aug 2024 - Dec 2024 (4 months)

▪ Built end-to-end RAG pipelines with LangChain and LlamaIndex covering document ingestion, chunking, embedding generation, and grounded LLM responses powering internal Q&A and summarisation across the business.
▪ Developed Python backend services in FastAPI to expose LLM-powered features, integrated with PostgreSQL stores and external APIs for real-time information retrieval.
▪ Implemented functi

Education

Degrees, certifications, and relevant coursework

UD

Udemy

The Complete Data Structures and Algorithms Course in Python

Mar 2025

DE

DeepLearning.AI

Pretraining LLMs

Jan 2025

QL

Queen Mary University of London

Master's degree, Artificial Intelligence

2023 - 2024

Pursuing my Master's in Artificial Intelligence at Queen Mary University of London has allowed me to deepen my expertise in cutting-edge technologies and methodologies. The program’s rigorous curriculum covered essential areas such as Natural Language Processing, Deep Learning, Bayesian Neural Networks, and Machine Learning Algorithms, providing me with a robust framework to tackle complex challen

SC

Shri Shivaji Science College

Bachelor's degree, Computer Science

2019 - 2022

During my undergraduate studies, I delved deep into the foundational and advanced aspects of computer applications, equipping myself with critical skills in software engineering, data structures, object-oriented programming, and database management systems. My coursework was rigorously designed to blend theoretical knowledge with practical application, preparing me for real-world challenges in the

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