Rakshith Roy Gantagogula

AI/ML Engineer | Finance & Technology | LLMs, Generative AI & MLOps | Python • PyTorch • AWS • HuggingFace | Driving Scalable AI Solutions & Cloud Cost Optimization

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About Me

🚀 AI/ML Engineer with 3+ years delivering end-to-end ML & Generative AI across finance, healthcare, and tech. I build large-scale LLM training/inference platforms, production-ready MLOps, and optimize cloud for efficiency and cost.

Featured Projects

Distributed LLM Platform

Architected a platform for multi-billion parameter LLMs, enabling 100+ production AI agents across business units.

AI Assistants & PR Agent

Built GPT-4/Claude assistants and a PR review agent; saved ~3 hours/day per department and cut review time by 30%.

ETL Monitoring & NLP

Reduced retrieval latency by 40% with DynamoDB→PostgreSQL ETL + React UI; shipped BERT models improving sentiment accuracy.

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Experience

AI/ML Engineer

CGI · Dallas, TX | Jul 2024 – Present

  • Architected and deployed a distributed AI/ML platform for multi-billion parameter LLMs, enabling 100+ production AI agents across business units.
  • Built a GPT-4/Claude-powered knowledge assistant that automated internal queries, reducing manual workload by ~3 hours/day per department and scaling GenAI adoption from 1K → 4.5K employees.
  • Implemented an AI-driven code review agent integrated with GitHub PRs, cutting review cycle time by 30% and lowering post-deployment defects by 15%.
  • Designed an ETL pipeline (DynamoDB → PostgreSQL) with a ReactJS dashboard, improving monitoring efficiency and reducing retrieval latency by 40%.
  • Developed reusable Python/Node.js libraries for ML workflows, reducing cloud infrastructure costs by 20%.
  • Automated infra provisioning and CI/CD deployments with Pulumi, Docker, and GitHub Actions, ensuring consistent multi-env rollouts.
  • Enhanced observability with CloudWatch and QuickSight dashboards for real-time AI/ML pipeline monitoring.

Machine Learning Engineer

Hexaware Technologies · Bengaluru, India | Jan 2020 – Jul 2022

  • Designed and deployed an automated churn prediction system using ML algorithms like Logistic Regression, Decision Trees, and Gradient Boosting, improving customer retention by 25%.
  • Developed a BERT-based sentiment analysis model with 90% accuracy and automated pipelines for continuous extraction and retraining on banking data.
  • Performed detailed preprocessing and feature engineering on transactional, demographic, and service usage datasets to optimize model performance.
  • Developed REST APIs in Flask to integrate churn models into CRM systems, enabling real-time retention alerts.
  • Created dashboards with Tableau/Power BI to communicate insights, improving adoption by 30%.

AI Engineer Intern

XNODE Inc. · Dallas, TX (Remote) | Jan 2024 – Jul 2024

  • Developed secure microservices in FastAPI for Slack integration, enabling storage and retrieval of messages in SQLite.
  • Implemented Azure Key Vault for secret management and JWT authentication for security hardening.
  • Built and tested LangChain pipelines for structured prompt storage and response generation in GenAI workflows.
  • Collaborated with cross-functional teams to align LLM-driven features with product requirements and user needs.

Graduate Research & Academic Projects

The University of Texas at Dallas · Richardson, TX | 2023 – 2024

  • Developed a Clinical RAG Assistant for provider notes using LangChain, FAISS, and OpenAI/Claude for summarization and Q&A; reduced time-to-answer by ~32% in a class study.
  • Designed an ETL Job Monitor with anomaly detection and LLM-based natural language alerts, leveraging DynamoDB → PostgreSQL pipelines and React dashboards.
  • Engineered H&M Personalized Fashion Recommendations combining collaborative filtering and lightweight transformers on product descriptions, evaluated with MAP@K metrics.
  • Created multiple personal training projects including LLM Cost Optimizer, PR Review Agent, and a Multimodal Recipe Generator (CLIP + GPT), demonstrating applied Generative AI expertise.

🎓 Education

University of Texas at Dallas

Master of Science (M.S.) in Information Technology & Management

University of Texas at Dallas (2022 - 2024)

Completed my Master's at The University of Texas at Dallas with a focus on Artificial Intelligence, Machine Learning, and Cloud Systems. Gained strong expertise in scalable architectures, LLMs/Generative AI, and enterprise software engineering practices.

Academic journey included research-driven projects such as RAG assistants, ETL monitoring dashboards with GenAI insights, and personalized recommender systems. Collaborated with peers and faculty on capstone work bridging AI and cloud engineering.

📚 Relevant Coursework:

  • Machine Learning & Generative AI
  • Cloud Computing & Big Data
  • Advanced Database Management
  • Data Structures & Algorithms
  • Systems Programming
  • Agile Project Management

🏆 Leadership & Achievements

Served as Head of Social Media Team, Lion's Club (2022 – 2024), leading campaigns that boosted engagement by 40%. Presented graduate-level projects in AI/ML and recognized for innovative use of LangChain and HuggingFace in academic settings.

  • Certification: Databricks Academy Accreditation – Generative AI Fundamentals (2024).

Skills & Technologies

A curated showcase of my technical expertise, honed through real-world projects and industry experience.

Programming Languages

Python95%
GoLang85%
Java85%
JavaScript80%
TypeScript80%
SQL85%
Bash75%

Machine Learning & AI

PyTorch90%
TensorFlow85%
HuggingFace85%
LangChain85%
Scikit-learn85%
LLMs / Generative AI90%
MLOps85%

Frameworks & Backend

Flask85%
FastAPI85%
Django80%
Spring Boot80%
Node.js80%
Express.js75%

Cloud & DevOps

AWS (ECS, Lambda, SageMaker, Bedrock, Redshift, DynamoDB)90%
Azure (Key Vault, Functions, Storage)80%
Docker85%
Kubernetes80%
Pulumi / Terraform80%
CI/CD (GitHub Actions, GitLab, Jenkins)85%

Databases & Data Engineering

PostgreSQL85%
MySQL85%
MongoDB80%
DynamoDB80%
Spark75%
ETL Pipelines85%

Visualization & Analytics

Tableau80%
Power BI80%
ReactJS Dashboards80%

Tools & Collaboration

Git90%
Jira90%
Confluence85%
Agile/Scrum95%

Compliance & Security

HIPAA (PHI handling & safeguards)85%
RBAC & IAM (AWS IAM, OAuth2/JWT)85%
Secrets Mgmt (Azure Key Vault, AWS KMS)80%
Encryption at Rest & In Transit (SSE, TLS)85%
Audit Logging & Monitoring (CloudTrail, CloudWatch)80%
PII Redaction & Data Masking80%
Compliance as Code (Policies/Guardrails)75%

🎓 Certifications & Achievements

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

Databricks

Databricks Academy Accreditation – Generative AI Fundamentals

Databricks

Certification Badge
View Credential
Amazon Web Services

AWS Certified Solutions Architect – Associate

Amazon Web Services

Certification Badge
View Credential
HashiCorp

HashiCorp Terraform Associate

HashiCorp

Certification Badge
View Credential
Udemy

Advanced Python Programming

Udemy

View Credential
Udemy

Complete Developer’s Guide in GoLang

Udemy

View Credential

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.