AI/ML Engineer · Project Manager, AI Operations

Rakshith Roy
Gantagogula

Building production AI: RAG, agents, and LLM platforms. Leading AI Ops and full-stack GenAI delivery.

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Profile

About Me

Senior AI/ML engineer and technical lead with 3+ years delivering production-grade machine learning and generative AI across financial services, healthcare, and enterprise technology. I architect and ship scalable systems—distributed LLM training and inference, RAG pipelines, agent orchestration, and MLOps—and lead cross-functional AI Operations teams to measurable outcomes in productivity, cost efficiency, and reliability.

Spotlight

Featured highlights

  • Production AI & RAG

    Customer-facing chatbot with RAG, LangGraph, BigQuery/Neon, and Azure AI Foundry on Cloud Run.

  • Scalable LLM platform

    Multi-billion parameter LLMs; GPT-4/Claude agents; CrewAI PR agent cutting review time by 30%.

  • MLOps & ETL at scale

    DynamoDB to PostgreSQL ETL, FastAPI + React UI; Pulumi, Docker, Bedrock & Azure ML.

  • AI Operations leadership

    Leading cross-functional AI Ops teams; roadmap planning, sprint execution, and production reliability.

  • Full-stack GenAI delivery

    Backend (Python, APIs, agent architecture) and frontend (React, TypeScript) for AI-enabled applications.

Work & research

Projects

A showcase of my academic and personal projects demonstrating practical solutions and technical depth.

LLM Assistant (RAG Pipeline)

Jan 2023 – May 2023

The University of Texas at Dallas (Masters)

Built a retrieval-augmented generation (RAG) pipeline using LangChain and Opensearch to reduce hallucinations in LLM outputs. Designed prompt templates and evaluators to improve response accuracy and relevance.

LangChainOpensearchPythonRAG
View on GitHub

Clinical RAG Assistant for Provider Notes

Jan 2024 – May 2024

The University of Texas at Dallas (Masters)

Built a retrieval-augmented generation (RAG) assistant for clinical notes using LangChain, FAISS, and OpenAI/Claude for summarization and Q&A. Implemented chunking (recursive), metadata filtering, and prompt templates with guardrails to reduce hallucinations. Achieved ~32% reduction in time-to-answer in a class study.

LangChainOpenAIClaudeFAISSPythonFastAPI
View on GitHub

ETL Job Monitor with LLM Alerts

Aug 2023 – Dec 2023

The University of Texas at Dallas (Masters)

Designed an ETL monitoring dashboard with anomaly detection and LLM-based natural language alerts. Pipe raw logs → DynamoDB → Postgres; exposed status APIs and a React UI. Added a small GenAI layer for 'Explain this failure' powered by prompt chains.

AWSDynamoDBPostgreSQLReactLangChainPythonFastAPI
View on GitHub

H&M Personalized Fashion Recommendations

Jan 2023 – May 2023

The University of Texas at Dallas (Masters)

Engineered a recommendation engine combining collaborative filtering and lightweight transformers on product text. Preprocessed millions of interactions with Pandas/NumPy; evaluated with MAP@K.

PythonPandasNumPyScikit-learnPyTorch
View on GitHub

Experience

Production AI, platform engineering, and technical leadership across startups and enterprises.

Current

Advanced Management USA, LLC· Full-time · 6 mosUSA

Project Manager, AI Operations

Present · Current

Led AI Operations initiatives as Project Manager, managing a cross-functional team of 4–5 engineers and overseeing roadmap planning, sprint execution, and production reliability.

LeadershipAI OperationsProject ManagementTeam LeadershipRoadmap Planning

AI Application Developer

Sep 2025 – Dec 2025 · 3 mos

Architected and deployed a production-grade AI chatbot integrated into a customer-facing application using RAG and YAML-configured GPT tool endpoints enabling real-time data retrieval from BigQuery and Neon (PostgreSQL), including autonomous SQL query generation.

Application DevelopmentPythonReactLangGraphRAGAzure AI Foundry

Jul 2024 – Sep 2025

CGI Inc.USA
AI/ML Engineer

Worked on AI/ML platform for scalable distributed training, finetuning, and inference supporting multi-billion parameter LLMs and hundreds of AI Agents.

PythonLangChainCrewAIFastAPIAWS BedrockAzure MLPulumiDocker

Jan 2024 – Jul 2024

Xnode.aiUSA
AI Engineer Intern

Developed secure microservices in FastAPI for Slack integration, enabling storage and retrieval of messages in SQLite.

PythonFastAPILangChainAzure Key VaultJWTSQLite

Dec 2021 – Mar 2022

Hexaware TechnologiesIndia
Machine Learning Engineer Intern

Designed and deployed an automated churn prediction system using ML algorithms (Logistic Regression, Decision Trees, Gradient Boosting), improving customer retention by 25%.

PythonScikit-learnBERTFlaskETL

Background

Education

Formal training in AI/ML, cloud, and software engineering.

The University of Texas at Dallas

Master's in Information Technology and Management

The University of Texas at Dallas

Texas, USAAug 2022 – May 2024

Focus on AI, ML, and cloud systems. Built RAG pipelines (LangChain, Opensearch), prompt templates, and evaluators; coursework in ML, data engineering, and distributed systems.

Relevant coursework

Machine Learning & Generative AICloud Computing & Big DataAdvanced Database ManagementData Structures & AlgorithmsDistributed Systems

Bachelor's in Computer Science and Engineering

Pragati Engineering College

Andhra Pradesh, IndiaJun 2018 – May 2022

Foundation in algorithms, databases, and software engineering.

Relevant coursework

Systems ProgrammingDatabasesSoftware Engineering

Expertise

Skills & Technologies

A curated showcase of technical expertise—click nodes to explore categories and connections.

Programming
ML & AI
MLOps & APIs
Cloud
Data

Credentials

Certifications & Achievements

Continuous learning keeps me ahead in tech. These credentials validate my skills in cloud, DevOps, and software engineering.

Databricks

Databricks Generative AI Fundamentals

Databricks

Certification Badge
Amazon Web Services

AWS Certified Solutions Architect – Associate

Amazon Web Services

Certification Badge
HashiCorp

HashiCorp Terraform Associate (003)

HashiCorp

Certification Badge

Life

Beyond Work

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Exploring the world fuels my creativity. Traveling to different places, capturing breathtaking landscapes, and embracing new cultures is what inspires me beyond writing code. Every journey is a story, and every photo is a memory frozen in time.