About

Hitha Magadi Vijayanand

I am a Software Developer and graduate student in Computer Science at Texas A&M University, with over two years of experience building scalable backend systems and cloud-native applications. At J.P. Morgan Chase, I focused on large-scale system modernization, AWS-driven infrastructure optimization, and the design of efficient data pipelines and search solutions.

My strengths lie in backend engineering, distributed systems, cloud computing, and data-intensive applications. I am skilled in Java, Spring Boot, AWS, and Elasticsearch, with a strong foundation in system design, performance tuning, and reliability engineering.

Beyond industry experience, I am passionate about AI, ML, NLP, and Generative AI. I have taken graduate-level courses in AI, ML, NLP, and GenAI, and actively explore topics such as retrieval-augmented generation (RAG), multimodal learning, and deep learning for time-series and image data. My interests extend to applied research in optimization, fairness, and data mining, where I enjoy developing innovative, data-driven solutions to complex real-world problems.

Experience

  1. Software Development Engineer · Student Assistant

    Aug 2025 – Present · College Station, TX

    Texas A&M Engineering Department

    • Production WebRTC video chat with E2E encryption & Stripe; 100+ concurrent users.
    • Automated CI/CD with ~99% deployment success and faster releases.

  2. Software Development Engineer 2

    Jan 2024 – Jul 2024 · Bengaluru, India

    JPMorgan Chase

    • Migrated microservices to AWS ECS; cut deployment time by ~70%.
    • Event-driven notifications with RabbitMQ; 15M+ events/month.
    • Interactive dashboards for 5+ teams, improving decisions.

  3. Software Development Engineer 1

    Sep 2021 – Dec 2023 · Bengaluru, India

    JPMorgan Chase

    • Spring Boot 2→3 & Java 8→17 upgrades; performance + maintainability.
    • MarkLogic → S3 + DynamoDB; −80% infra cost for 1,500+ users.
    • OpenSearch synonyms; +50% relevance; 1M+ records, 40% faster queries.

  4. Software Engineering Intern

    Feb 2021 – Aug 2021 · Bengaluru, India

    JPMorgan Chase

    • Automated report generation via Outlook & Control-M.
    • 100% method coverage (JUnit); load tests with JMeter.
    • APIs for Elasticsearch index management.

Projects

Cause Analysis of Accidents

Python Apriori

Apriori-style rule mining to discover risk factor patterns in traffic accidents.

Repository →

Recommendation System

MongoDB Redis CF

Collaborative filtering + MongoDB & Redis caching; full-stack demo.

Repository →

Hybrid Self-RAG

RAG Wikipedia arXiv

Wikipedia + arXiv retrieval; FactScore validation (0.65→0.87).

Repository →

Generator Matrix Optimization

LP GA SA

LP + GA + SA; −15% m-height; −38% latency.

Repository →

Multimodal Network · Calorie Prediction

Bi-LSTM CNN PyTorch

Bi-LSTM + CNN over CGM time-series, neural signals & meal images.

Repository →

LoRA Driving Instructor (DistilGPT2)

LoRA DistilGPT2 NLP

LoRA-fine-tuned DistilGPT2 for driving/navigation instructions.

Repository →

Skills

Languages & Frameworks

C++, Java, Python, C, JavaScript/TypeScript, HTML/CSS, Spring Boot, Node.js, Django, Flask

Tools & Platforms

AWS, Docker, Kubernetes, Linux/Unix, Terraform, Jenkins, Jira, Splunk

Databases & Other

MongoDB, SQL, PostgreSQL, DynamoDB, S3, OpenSearch/Elasticsearch, NLP/ML, PyTorch, TensorFlow

Education

Texas A&M University

Master of Computer Science — GPA 3.6/4.0

Aug 2024 – May 2026 · College Station, TX

JSS Science and Technology University

B.E. in Computer Science — GPA 3.8/4.0

Aug 2017 – Jul 2021 · Mysuru, India

Certifications & Achievements

  • Innovation Award by AWM @ JPMorgan for modernization (Jul 2024).
  • Won JPMorgan SEPATHON: high-throughput S3 media transfer (Jul 2022).
  • AWS Cloud Practitioner (Jul 2022).

Why Hire Me

Proven Industry Experience

Over two years at J.P. Morgan Chase, modernizing large-scale systems, optimizing cloud infrastructure with AWS, and improving search performance with Elasticsearch for 1M+ records and thousands of users.

Strong Technical Toolkit

Skilled in Java, Spring Boot, AWS, Docker, Kubernetes, and distributed systems, with a strong foundation in system design, performance tuning, and backend engineering.

Academic & Research Depth

Graduate student at Texas A&M University, with advanced coursework in AI, ML, NLP, and Generative AI. Actively exploring RAG, multimodal learning, and deep learning for time-series and image data.

Passion for Innovation

I thrive on solving complex problems with data-driven solutions - from building real-time WebRTC apps with secure payments to exploring fairness and optimization in AI research. I bring curiosity, adaptability, and a drive to deliver impact.

Contact

Best way to reach me is email. I’m open to full-time SWE roles (distributed systems, platform, ML/infra) and internships.

hithavgowder@gmail.com +1 (979) 344-7132 LinkedIn GitHub