
Rohan Loganathan Reddy
ML/AI Engineer & Cloud Solutions Engineer
Professional Summary
I’m Rohan Loganathan Reddy, an AI Cloud Engineer at Fipsar, where I lead infrastructure and deployment for intelligent applications built on top of modern LLM stacks. My work blends end-to-end machine learning with scalable cloud infrastructure — enabling real-world AI tools to go from idea to production.
I’ve deployed AI applications using AWS ECS, Fargate, Lambda, API Gateway, Route 53, and Secrets Manager — supporting internal enterprise AI tools powered by OpenAI APIs and fast inference APIs using FastAPI. From embedding-based document search to LangChain-powered chatbots, I build platforms that scale intelligently and securely.
I hold a Master’s in Computer Science with a specialization in Machine Learning & Artificial Intelligence from Portland State University. I also bring past experience at Oracle as a BI Engineer, and academic research in ML/IR systems. My technical skills span Python, C++, SQL, Docker, GitHub Actions, FastAPI, and cloud-native engineering across the AWS ecosystem.
I’m certified by AWS (ML Specialty), Hackerrank (Software + SQL), and Databricks (Lakehouse + GenAI). But what drives me is practical creativity — building usable systems with thoughtful design, not just working code.
Skills & Expertise
AI & Machine Learning
Cloud & MLOps
Programming & Frameworks
Data Engineering & Infra
Work Experience
Associate AI Cloud Engineer
Fipsar
Hillsborough, New Jersey (Remote)
Feb 2025 - Present
- •Spearheaded the full end-to-end deployment of a secure AWS platform for internal AI application development across dev, test, and prod environments.
- •Implemented robust VPC network infrastructure, IAM policies, ECS (Fargate) integration, ALB-based routing, and container orchestration with ECR + Docker.
- •Configured secure secrets management using AWS Secrets Manager and Parameter Store, ensuring compliance with best practices.
- •Worked closely with the internal ML team to support the deployment and scalability of generative AI models, without using frameworks like FastAPI.
- •Managed DNS routing with Route 53 and architected CI/CD pipelines via GitHub Actions for seamless infrastructure and model deployments.
AI Engineer Intern
RadicalX AI
Remote (Remote)
Jun 2024 - Oct 2024
- •Developed a full-stack prototype for an LLM-based RAG system integrating OpenAI APIs with FAISS, LangChain, and Python.
- •Constructed a complete search and question-answering engine using Retrieval-Augmented Generation (RAG) pipelines and vector embeddings from academic corpora.
- •Integrated LangChain memory, prompt templates, and chaining capabilities for modular experimentation.
- •Deployed interactive demo environments with Streamlit, allowing fast evaluations and demo sharing.
- •Implemented modular retrievers, QA chains, and integrated external datasets to assess model generalization.
- •Optimized latency using OpenAI function-calling and asynchronous execution for sub-second query resolution.
Graduate Teaching Assistant – Reinforcement Learning
Portland State University
Portland, Oregon
Sep 2024 - Dec 2024
- •Assisted in delivering lectures and designing assignments for the graduate-level Reinforcement Learning course (CS 584).
- •Mentored master's students on policy iteration, DQN, and deep RL topics, while grading complex homework and projects.
Staff Consultant – Business Intelligence & Data Engineer
Oracle India Pvt. Ltd.
Bengaluru, Karnataka, India
Sep 2020 - Mar 2023
- •Led development of Financial BI Reports for Oracle Fusion ERP (Finance, SCM), reducing report generation time by 50% and minimizing errors by 20%.
- •Independently designed and deployed key reports including P&L and Cash Flow statements, enhancing billing efficiency and business insight.
- •Recognized as the ACE Consultant FY22 for Dubai Holdings for delivering high-impact, scalable ERP reporting solutions and multitasking across verticals.
- •Worked with Oracle Cloud Integrations to ingest and integrate third-party datasets into the client’s ERP cloud infrastructure.
- •Delivered presentations and collaborated with client-side finance and operations teams to create custom BI and FRS reports for ERP and SCM systems.
- •Led Oracle Fusion and SCM Cloud data migrations for global clients such as Bahri Dubai, Computer Share Australia, and Dubai Holdings.
- •Improved ETL workflows and automated financial data summaries, enabling faster turnaround and strategic analytics for business decisions.
Previous Experience
Software Engineering Intern - Web Development
Jun 2019 - Aug 2019
Hiranandani Upscale School
Certifications
Education
Master of Science – Computer Science (AI Specialization)
Portland State University
Apr 2023 - Dec 2024
GPA: 3.82
Activities and Societies:
- Indian Student Association – Member
Hobbies & Interests
Enjoy solving puzzles and playing tactical mid-games for focus and patience.
Follow international cricket and enjoy playing during weekends with friends.
Passionate about writing breakdowns of AI tools, model builds, and cloud infra.
Capturing landscapes and experimenting with mobile editing tools.
Stay active in the competitive gaming scene and follow global esports events.
Mindful walking helps declutter thoughts and ideate new projects.