Open to opportunities

lakshay chauhan

@lakshaychauhan1

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Machine Learning Engineer specializing in NLP, LLMs, and MLOps—building production-ready AI solutions.

India

Message

What I'm looking for

I’m looking for a challenging global role where I can architect end-to-end NLP/LLM systems and own MLOps/LLMOps for production impact. I want teams that value reliable deployments, measurable outcomes, and modern agentic + RAG engineering.

Machine Learning Engineer with 5 years of experience building and deploying production-grade AI systems across NLP, deep learning, and large language models. Proven experience designing end-to-end ML architectures—from data ingestion and feature engineering to model serving and monitoring—within enterprise environments. Strong background in RAG pipelines, transformer-based systems, and scalable MLOps practices. Experienced in translating business requirements into reliable AI solutions that improve operational efficiency and decision-making.

Experience

Work history, roles, and key accomplishments

Current

Machine Learning Engineer

Current

Osttra (S&P Global)

Dec 2023 - Present (2 years 8 months)

Developed self-service agents to analyze complex trading and clearing pipelines, enabling clients to resolve stuck or rejected trades independently. Built secure RAG-based LLM chatbots for 20+ sub-business units and automated trade file matching with Dialogflow CX and Python, reducing manual effort and improving processing efficiency.

Python Prompt Engineering LLM Dialogflow Sentence Similarity Models Agentic UI Flows Data Pipelines

Machine Learning Engineer

Verse Innovation

Sep 2021 - Dec 2023 (2 years 3 months)

Optimized ML and deep learning models using GridSearchCV, regularization, and data augmentation techniques. Implemented BERT-based entity recognition to improve content categorization and search functionality, and built user profile enrichment and topic-modeling-based content discovery to drive personalized recommendations and higher engagement.

Python Transformers Topic modeling Recommendation Systems NLP Pipeline Development