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I am a seasoned Generative AI & ML Engineer with 5+ years of hands-on experience in building, fine-tuning, and deploying large-scale AI systems. I specialize in transformer architectures, LLM integration, and generative model optimization for NLP, computer vision, and multimodal applications. I have a proven track record of delivering end-to-end ML pipelines, production-ready APIs, and scalable GenAI solutions across enterprise and startup environments. I enjoy problem-solving through prompt engineering, RAG pipelines, and thoughtful model evaluation to align AI with business outcomes. I’m exploring scalable agentic workflows, RAG optimization, innovations in LLMs, and ethical AI deployment with MLOps automation to drive impactful, responsible AI adoption.…I am a seasoned Generative AI & ML Engineer with 5+ years of hands-on experience in building, fine-tuning, and deploying large-scale AI systems. I specialize in transformer architectures, LLM integration, and generative model optimization for NLP, computer vision, and multimodal applications. I have a proven track record of delivering end-to-end ML pipelines, production-ready APIs, and scalable GenAI solutions across enterprise and startup environments. I enjoy problem-solving through prompt engineering, RAG pipelines, and thoughtful model evaluation to align AI with business outcomes. I’m exploring scalable agentic workflows, RAG optimization, innovations in LLMs, and ethical AI deployment with MLOps automation to drive impactful, responsible AI adoption.

SAHITHI SANE

AI Engineer, Data Scientist, Data Analyst, +2

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I am a seasoned Generative AI & ML Engineer with 5+ years of hands-on experience in building, fine-tuning, and deploying large-scale AI systems. I specialize in transformer architectures, LLM integration, and generative model optimization for NLP, computer vision, and multimodal applications. I have a proven track record of delivering end-to-end ML pipelines, production-ready APIs, and scalable GenAI solutions across enterprise and startup environments. I enjoy problem-solving through prompt engineering, RAG pipelines, and thoughtful model evaluation to align AI with business outcomes. I’m exploring scalable agentic workflows, RAG optimization, innovations in LLMs, and ethical AI deployment with MLOps automation to drive impactful, responsible AI adoption.…I am a seasoned Generative AI & ML Engineer with 5+ years of hands-on experience in building, fine-tuning, and deploying large-scale AI systems. I specialize in transformer architectures, LLM integration, and generative model optimization for NLP, computer vision, and multimodal applications. I have a proven track record of delivering end-to-end ML pipelines, production-ready APIs, and scalable GenAI solutions across enterprise and startup environments. I enjoy problem-solving through prompt engineering, RAG pipelines, and thoughtful model evaluation to align AI with business outcomes. I’m exploring scalable agentic workflows, RAG optimization, innovations in LLMs, and ethical AI deployment with MLOps automation to drive impactful, responsible AI adoption.

Available to hire

I am a seasoned Generative AI & ML Engineer with 5+ years of hands-on experience in building, fine-tuning, and deploying large-scale AI systems. I specialize in transformer architectures, LLM integration, and generative model optimization for NLP, computer vision, and multimodal applications. I have a proven track record of delivering end-to-end ML pipelines, production-ready APIs, and scalable GenAI solutions across enterprise and startup environments.

I enjoy problem-solving through prompt engineering, RAG pipelines, and thoughtful model evaluation to align AI with business outcomes. I’m exploring scalable agentic workflows, RAG optimization, innovations in LLMs, and ethical AI deployment with MLOps automation to drive impactful, responsible AI adoption.

Skills

Experience Level

Expert

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Expert

Language

English

Fluent

Work Experience

Senior Gen AI/ML Engineer at Bank of America

February 1, 2025 - Present

Designed and fine-tuned LLM-powered applications (GPT-4, LLaMA-3, BERT) for text classification, summarization, and conversational AI, improving accuracy by 25%. Implemented advanced Retrieval-Augmented Generation (RAG) pipelines with LangChain, PromptTemplates, FAISS and Azure Cognitive Search to boost relevance by 35% and reduce query time. Built and deployed multi-turn conversational agents using LangChain and Tool Calling; developed AI copilots via Microsoft Copilot Studio integrating with Power Platform to automate workflows. Deployed models as RESTful services via FastAPI, Docker, AKS with blue-green strategies, and maintained end-to-end MLOps pipelines with Azure ML, MLflow, DVC, and GitHub Actions. Applied SHAP/LIME/Evidently for explainability; evaluated embedding performance and optimized latency.

Gen AI/ML Engineer at Mott Foundation

December 1, 2024 - October 23, 2025

Delivered NLP solutions for summarization and classification using GPT-4, LLaMA, and T5; integrated vector databases (FAISS, Azure Cognitive Search) into RAG pipelines to enable scalable semantic search, increasing search accuracy by 25%. Designed few-shot/zero-shot prompts and chain-of-thought strategies to enhance LLM reasoning. Built modular GenAI pipelines (Agents, Tools, PromptTemplates) with LangChain; deployed GenAI models as scalable microservices on Azure (FastAPI, Docker, AKS). Automated ML ops with Azure ML and MLflow; implemented monitoring with Azure Monitor/Application Insights; prototyped full-stack GenAI apps with Streamlit.

AI Engineer at SKOOP Signage

March 1, 2024 - October 23, 2025

Designed and fine-tuned AI models (GPT-4, LLaMA, BERT) for text classification, summarization, and chat-based applications; engineered high-performing embedding models (OpenAI, Cohere, Azure OpenAI) enabling semantic search via FAISS, Qdrant, and Pinecone. Built scalable RAG systems with LangChain and Azure Cognitive Search; deployed AI copilots using Copilot Studio and Power Platform, improving user interaction in in-store kiosks. Implemented production deployments with FastAPI, Docker, AKS and MLOps practices using Azure ML, MLflow, GitHub Actions; ensured explainability and bias mitigation with SHAP, LIME, and Evidently AI.

Data Scientist at Dell Technologies

August 1, 2023 - October 23, 2025

Built time series forecasting and classification models (scikit-learn, XGBoost, LightGBM) for procurement optimization and inventory management, boosting accuracy by 15%. Validated data across 470M+ transactional records. Developed custom NLP pipelines (spaCy, NLTK, Gensim) for tokenization, NER, topic modeling, and text classification. Deployed ML models with Flask, Docker on AWS EC2; orchestrated ETL with AWS Lambda. Managed data storage and querying (SQL, PostgreSQL, BigQuery); applied cross-validation with MLflow and DVC. Created interactive dashboards in Power BI and Tableau; collaborated with cross-functional teams using Git/Jira.