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I am Sneha Mohite, a Senior ML Engineer with 6+ years of experience in building and deploying advanced ML solutions in distributed environments. I specialize in NLP, LLMs, and multi-model architectures, translating complex business problems into scalable AI systems. I enjoy turning data into actionable insights and delivering impact through robust, production-ready solutions. I thrive on designing end-to-end data pipelines, optimizing model lifecycles, and mentoring junior engineers. My work spans Azure, Google Cloud, Databricks, and containerized environments, including building chatbots, search platforms, and AI-assisted tooling that improves retrieval efficiency and decision-making for businesses.…I am Sneha Mohite, a Senior ML Engineer with 6+ years of experience in building and deploying advanced ML solutions in distributed environments. I specialize in NLP, LLMs, and multi-model architectures, translating complex business problems into scalable AI systems. I enjoy turning data into actionable insights and delivering impact through robust, production-ready solutions. I thrive on designing end-to-end data pipelines, optimizing model lifecycles, and mentoring junior engineers. My work spans Azure, Google Cloud, Databricks, and containerized environments, including building chatbots, search platforms, and AI-assisted tooling that improves retrieval efficiency and decision-making for businesses.

Sneha Mohite

AI Engineer, Data Scientist, App Developer, +2

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I am Sneha Mohite, a Senior ML Engineer with 6+ years of experience in building and deploying advanced ML solutions in distributed environments. I specialize in NLP, LLMs, and multi-model architectures, translating complex business problems into scalable AI systems. I enjoy turning data into actionable insights and delivering impact through robust, production-ready solutions. I thrive on designing end-to-end data pipelines, optimizing model lifecycles, and mentoring junior engineers. My work spans Azure, Google Cloud, Databricks, and containerized environments, including building chatbots, search platforms, and AI-assisted tooling that improves retrieval efficiency and decision-making for businesses.…I am Sneha Mohite, a Senior ML Engineer with 6+ years of experience in building and deploying advanced ML solutions in distributed environments. I specialize in NLP, LLMs, and multi-model architectures, translating complex business problems into scalable AI systems. I enjoy turning data into actionable insights and delivering impact through robust, production-ready solutions. I thrive on designing end-to-end data pipelines, optimizing model lifecycles, and mentoring junior engineers. My work spans Azure, Google Cloud, Databricks, and containerized environments, including building chatbots, search platforms, and AI-assisted tooling that improves retrieval efficiency and decision-making for businesses.

Available to hire

I am Sneha Mohite, a Senior ML Engineer with 6+ years of experience in building and deploying advanced ML solutions in distributed environments. I specialize in NLP, LLMs, and multi-model architectures, translating complex business problems into scalable AI systems. I enjoy turning data into actionable insights and delivering impact through robust, production-ready solutions.

I thrive on designing end-to-end data pipelines, optimizing model lifecycles, and mentoring junior engineers. My work spans Azure, Google Cloud, Databricks, and containerized environments, including building chatbots, search platforms, and AI-assisted tooling that improves retrieval efficiency and decision-making for businesses.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Advanced

Work Experience

Senior Machine Learning Engineer at SGS&Co

June 30, 2024 - July 25, 2025

Developed and deployed end-to-end ML pipelines for quality control prediction using Databricks and Airflow, resulting in annual savings of $150M through optimized processes and automation. Automated PDF document comparison increasing validation accuracy by 40%. Built custom object detection models with Google Document AI achieving 85% classification accuracy. Created and deployed Power BI dashboards for visualization of ML model metrics and KPIs. Fine-tuned BERT, GPT-3, and GPT-Neo models for employee survey analysis and automated feedback summarization to inform HR strategies. Developed client deal prediction models with XGBoost achieving 78% forecasting accuracy. Built PoC for invoice data extraction using Faster R-CNN and DeepSpeed.

Senior Machine Learning Engineer at SGS&Co

June 1, 2024 - August 1, 2025

Led the design and evaluation of the Retrieval-Augmented Generation (RAG) system for HR policies, improving contextual relevance in responses. Built real-time HR policy ingestion pipelines using Azure Functions and Azure AI Search to optimize document indexing and retrieval. Developed feedback loops for chatbot refinement, enhancing model accuracy and user interaction. Engineered a Natural Language to SQL chatbot for efficient database querying. Created proof-of-concept Website Search Chatbot with Google Search integration. Led backend development of a text and image search platform iteration, improving retrieval efficiency and image search accuracy. Developed and deployed end-to-end ML pipelines for quality control prediction, leading to $150M in annual savings. Automated PDF document comparison via AI models, boosting validation accuracy by 40%. Built custom object detection models achieving 85% accuracy. Designed and deployed Power BI dashboards for ML metrics and KPIs.

ML Consultant at UNICC

June 1, 2024 - Present

ML Consultant at UNICC

June 1, 2024 - Present

Led the design and evaluation of the RAG for HR policies, enhancing its effectiveness in generating contextually relevant responses. Built a real-time HR policy ingestion pipeline using Azure Functions and Azure AI Search, improving document indexing and retrieval efficiency. Developed feedback loops for chatbot interactions to refine RAG models for accuracy and user satisfaction. Built Natural Language to SQL chatbot enabling conversational data queries. Created PoC Website Search Chatbot with Google Search integration to enhance content discovery. Led backend development of text and image search platform, boosting retrieval efficiency and image search accuracy.

Senior ML Engineer at Wipro

January 1, 2022 - September 5, 2025

Led end-to-end ML deployments in distributed environments. Built a retrieval-augmented generation chatbot for HR policy support, including a real-time Azure Functions/Azure AI Search ingestion pipeline and a continuous improvement feedback loop. Delivered PoCs for an SQL-based chatbot and a Website Search Chatbot with Google Search integration; architected a text-and-image search platform, improving retrieval by 10% and image search accuracy by 58%. Developed an end-to-end ML pipeline on Databricks and Airflow for production predictions, automated PDF document comparison with AI models (40% validation accuracy gain), and Google Document AI-based object detection (85% component classification). Created Power BI dashboards to visualize ML metrics and KPIs to drive data-driven decisions.

Machine Learning Engineer at Wipro

January 1, 2022 - August 1, 2025

Fine-tuned BERT, GPT-3, and GPT-Neo models to analyze employee surveys and extract actionable HR insights. Automated feedback summarization to improve engagement and management insights. Architected a sentiment analysis solution with BERT for granular feedback accuracy. Built automated data preprocessing workflows with Azure ML. Developed a client deal prediction model using XGBoost with 78% accuracy. Created PoC for invoice data extraction using Faster R-CNN and DeepSpeed to enhance document processing efficiency.

Machine Learning Engineer at Wipro

January 1, 2022 - July 25, 2025

Implemented machine learning solutions across projects, focusing on NLP and predictive modeling to improve business outcomes. Built automated data preprocessing workflows with Azure ML. Architected sentiment analysis pipelines using BERT to enhance feedback accuracy. Worked on client-focused models and data automation tasks improving operational efficiency.