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AI/ML Engineer experienced in enterprise Generative AI, Retrieval-Augmented Generation (RAG), and machine learning solutions. I build secure, production-ready AI systems using Python and modern cloud and LLM frameworks (Azure OpenAI, FastAPI, LangChain, LangGraph) to improve operational efficiency and decision-making. I’ve delivered AI agents, REST APIs, and scalable data pipelines in regulated banking environments, with strong focus on CI/CD, model deployment, testing, and responsible AI practices including evaluation, governance, and guardrails.…AI/ML Engineer experienced in enterprise Generative AI, Retrieval-Augmented Generation (RAG), and machine learning solutions. I build secure, production-ready AI systems using Python and modern cloud and LLM frameworks (Azure OpenAI, FastAPI, LangChain, LangGraph) to improve operational efficiency and decision-making. I’ve delivered AI agents, REST APIs, and scalable data pipelines in regulated banking environments, with strong focus on CI/CD, model deployment, testing, and responsible AI practices including evaluation, governance, and guardrails.

Sameekshanalla Nalla

AI Engineer, Data Scientist, Software Engineer, +3

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AI/ML Engineer experienced in enterprise Generative AI, Retrieval-Augmented Generation (RAG), and machine learning solutions. I build secure, production-ready AI systems using Python and modern cloud and LLM frameworks (Azure OpenAI, FastAPI, LangChain, LangGraph) to improve operational efficiency and decision-making. I’ve delivered AI agents, REST APIs, and scalable data pipelines in regulated banking environments, with strong focus on CI/CD, model deployment, testing, and responsible AI practices including evaluation, governance, and guardrails.…AI/ML Engineer experienced in enterprise Generative AI, Retrieval-Augmented Generation (RAG), and machine learning solutions. I build secure, production-ready AI systems using Python and modern cloud and LLM frameworks (Azure OpenAI, FastAPI, LangChain, LangGraph) to improve operational efficiency and decision-making. I’ve delivered AI agents, REST APIs, and scalable data pipelines in regulated banking environments, with strong focus on CI/CD, model deployment, testing, and responsible AI practices including evaluation, governance, and guardrails.

Available to hire

AI/ML Engineer experienced in enterprise Generative AI, Retrieval-Augmented Generation (RAG), and machine learning solutions. I build secure, production-ready AI systems using Python and modern cloud and LLM frameworks (Azure OpenAI, FastAPI, LangChain, LangGraph) to improve operational efficiency and decision-making.

I’ve delivered AI agents, REST APIs, and scalable data pipelines in regulated banking environments, with strong focus on CI/CD, model deployment, testing, and responsible AI practices including evaluation, governance, and guardrails.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Work Experience

AI/ML Engineer at M&T Bank

February 1, 2026 - Present

Designed and deployed enterprise Retrieval-Augmented Generation (RAG) applications using Azure OpenAI, Azure AI Search, FastAPI, and Python. Developed LangGraph-based AI agent workflows for document retrieval, policy validation, and multi-step reasoning to improve compliance operational efficiency. Built secure, scalable REST APIs integrating enterprise knowledge repositories with Generative AI services, improving policy search efficiency by 35%. Implemented automated testing with Pytest and established CI/CD pipelines using Azure DevOps and GitHub Actions to reduce deployment time by 30%. Conducted proof-of-concept development, code reviews, performance optimization, and production troubleshooting while collaborating with compliance stakeholders to deliver secure production-ready AI solutions.

Machine Learning Engineering Intern at M&T Bank

September 1, 2025 - December 31, 2025

Developed Python feature engineering and data preprocessing pipelines using SQL and Pandas to support transaction risk analysis, reducing manual preparation effort by 18%. Built reusable preprocessing functions and validated them using Pytest, increasing prototype test coverage by 20%. Configured MLflow experiment tracking for model versioning, parameters, and evaluation to enable reproducible experimentation. Developed FastAPI-based REST endpoints for model deployment and containerized the ML application with Docker to reduce environment setup time by 25%. Contributed across SDLC activities including development, testing, debugging, documentation, and code reviews.

Data Analyst at Sage Softtech

June 1, 2021 - December 31, 2023

Built Python automation solutions and optimized SQL queries for large-scale CRM, web analytics, and marketing datasets, improving reporting efficiency and business decision-making. Created reusable data transformation pipelines using Pandas and SQL (joins, CTEs, window functions) with validation frameworks to improve reporting accuracy by 15% and increase data consistency. Developed customer segmentation and predictive analytics models using scikit-learn to increase campaign response rates by 12%. Designed Power BI dashboards for KPI reporting and performed A/B testing and statistical analysis to improve campaign effectiveness. Automated recurring reporting and validation workflows using Python and SQL to reduce manual effort and improve reliability.