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Sai Roshan Rao Nelavalli

@sairoshanraonelavalli

Software Engineer (MS CS, ASU) — AI/ML, backend & distributed systems, data engineering. Open to worldwide remote roles.

India

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What I'm looking for

Open to worldwide remote opportunities (any time zone) in AI/ML Engineering, Software Engineering, or Data & Business Analysis. Interested in full-time roles at companies of any size, ideally with distributed/remote-first teams and a strong engineering culture where I can grow across AI/ML, backend systems, and data.

Software Engineer with an MS in Computer Science from Arizona State University (4.0 GPA) and a BS in Computer Science, also from ASU. I build systems across AI/ML, backend and distributed systems, and data engineering — from production-style ELT pipelines (Python, dbt, Airflow, Kafka, PostgreSQL) to ML/RAG systems (TensorFlow, PyTorch, FAISS, Neo4j) and backend services in Java, Python, Scala, and Go, deployed with Docker and CI/CD. My experience includes software engineering internships building an ML-powered sound-to-speech interpreter and a full-stack LMS, plus teaching assistant roles mentoring 200+ students in data structures, algorithms, and software engineering. I also hold multiple cloud and data science certifications. I’m looking for worldwide remote opportunities in AI/ML Engineering, Software Engineering, or Data/Business Analysis roles where I can turn complex technical problems into reliable, well-tested systems.

Experience

Work history, roles, and key accomplishments

Software Engineer Intern

Arizona State University

Jan 2024 - Dec 2024 (11 months)

Led development of a Smart Sound-to-Speech Interpreter for my ASU Capstone project. Owned the ML pipeline for sound classification, improving model accuracy from 75% to 96%. Integrated TensorFlow models with backend services using Flask and Django for real-time mobile notifications.

TensorFlow Flask Machine Learning

Software Engineer Intern

Arizona State University

Aug 2023 - Dec 2023 (4 months)

Led full-stack development of an educational Learning Management System using Python, Django, and web technologies (student registration, secure login). Automated CI/CD pipelines with Docker and GitHub Actions, cutting release cycles by ~25%. Built fault-tolerant RESTful services in Scala for 300+ concurrent users.

Django Docker Scala