Open to opportunities

Sarvesh User

@noname797

Message

Machine learning engineer specializing in LLMs, RAG, and production ML systems for analytics and automation.

India

Message

What I'm looking for

I seek roles building production ML and LLM systems that drive analytics, automation, and operational impact, with collaborative teams and opportunities to prototype hybrid AI solutions.

I am a machine learning engineer focused on building robust, production-ready ML and hybrid ML+LLM solutions that improve query relevance and operational efficiency.

At Qlik, I enhanced parsing and filter handling with schema validation, fuzzy matching, synonym expansion, and human-in-loop feedback, and implemented state management to preserve context across sessions.

Previously at LTIMindtree, I deployed an intelligent Major Incident Manager integrating RASA, MS Teams, and ServiceNow, developed RASA chatbots using Gemini, implemented Monte Carlo simulations, and built predictive models with Random Forest and SVM to optimize operations across hundreds of accounts.

I automate complex analysis with Python, R, and Java, prototype LLM pipelines (Claude 3.5 with classical models), and deliver demonstrable impact in reporting, incident resolution, and forecasting.

Experience

Work history, roles, and key accomplishments

Current

Machine Learning Engineer

Current

Qlik

Apr 2025 - Present (6 months)

Enhanced query parsing and filter handling via schema validation, fuzzy matching, synonym expansion and human-in-the-loop feedback; implemented state management for context across sessions and resolved synchronization issues. Prototyped hybrid ML+LLM pipelines (Claude 3.5 with SVM/Random Forest/n-gram models) and developed a Qlik expression generator to enable efficient multi-period comparative re

Python Large Language Models RAG SVM Random Forest State Management Qlik

Data Scientist

LTIMindtree

Jul 2022 - Mar 2025 (2 years 8 months)

Deployed an intelligent Major Incident Manager integrating RASA, MS Teams and ServiceNow using RAG and Generative AI, improving incident resolution and real-time QA; built RASA chatbots for monitoring 500+ accounts and implemented Monte Carlo simulations and predictive models (Random Forest, SVM) to optimize resource forecasts and SLA compliance.