Uday Vallabhaneni - Full Stack Developer & Software Engineer

Experience

Explore my professional journey, where each opportunity shapes a chapter of expertise and achievement

Full Stack Developer; Founding Team

RiAI Capital Ltd

June 2025 – Present San Francisco, CA (Remote)

Pioneered an Amazon Bedrock risk/reporting system using AWS Lambda and Step Functions; drove down quality-control effort by 38% for RIA operations.
Architected and launched onboarding microservices in Node.js and Java on Amazon EKS with Kafka and Postgres; sustained about 22,000 requests per minute using back pressure, retries, and circuit breakers, enabling same-day proposals.
Established engineering standards linting, schema and contract validation, and testing; stabilized CI/CD pipelines and drove rollback incidents down by about 40%.
Automated advisor onboarding across React and Node with Step Functions and EventBridge; shortened end-to-end time from 2.5 hours to 35 minutes using the Saga pattern.
Led design reviews and pair-debugging sessions with three engineers; strengthened code reliability and cut post-deployment errors by 25%.
Collaborated with compliance officers, AI/ML engineer interns, and the CEO to align system design with FINRA and SEC requirements; accelerated product approvals and reduced review turnaround by about 25%.

President

Otaku Haven Club

August 2021 – May 2024 VIT-AP University

Won the Best Student Chapter Award 2023
Founded and led the Otaku Haven Club, building a vibrant community of 60+ anime and manga enthusiasts across campus.
Organized 10+ events including anime screenings, cosplay competitions, and cultural workshops, fostering creativity and collaboration among members.
Launched 3 major anime conventions with 200+ attendees, featuring guest speakers, art exhibitions, and interactive panels.
Coordinated with university administration and secured funding for club activities, managing a budget of $5,000+ annually.
Built partnerships with local businesses and online communities, expanding the club's reach and resources.

Projects

JIRA Software Clone

Angular | Akita State Management

For: Small development teams seeking an affordable project management solution

25% Data Accessibility 95% Test Coverage 15 Repos

Helps teams track issues, manage sprints, and collaborate effectively through an intuitive drag-and-drop kanban board. Built with Angular, Akita state management, and ng-zorro UI components with real-time updates via NestJS backend. Reduces project tracking costs while maintaining enterprise-grade features.

View Code

AI-Powered Blogging Platform

Full Stack | AI Integration

For: Content creators and bloggers who want to maximize reach and engagement

20% DB Latency 100+ Vulnerabilities Fixed 2 Juniors Mentored

Helps writers create SEO-optimized content faster with AI-powered generation, automated tagging, and intelligent content suggestions. Reduces writing time by 40% while improving search visibility through advanced NLP analysis and optimization recommendations.

View Code

LLM Chat Application

Flask | Streamlit | Google Gemini

For: Researchers and professionals needing intelligent, search-enhanced AI assistance

50+ Survey Results 10+ User Interviews 95% Response Accuracy

Provides real-time AI-powered conversations with web search integration, helping users get accurate, up-to-date information instantly. Combines Google Gemini Pro's reasoning with Serper API for fact-checked responses, improving research efficiency by 60%.

View Code

Voice Cloning System

Deep Learning | Tacotron2

For: Content creators, audiobook producers, and accessibility advocates

15+ Investors Reached 5+ Blockchain Experts 4.5 MOS Quality

Enables creation of natural-sounding synthetic voices for personalized audio content, audiobooks, and assistive technology. Using Tacotron2 architecture, it reduces voice recording costs by 80% while maintaining human-like quality for individuals with speech impairments or multilingual needs.

View Code

AI Trip Planner

AI | Travel Tech

For: Travelers seeking personalized itineraries without the hassle of manual planning

10+ Events 3 Conferences 500+ Trips Planned

Saves hours of travel research by automatically generating customized itineraries based on preferences, budget, and time constraints. Integrates flight, hotel, and attraction APIs to create optimal trip plans, reducing planning time by 70% while ensuring budget-friendly recommendations.

View Code

Network Monitoring System

DevOps | Real-Time Monitoring

For: IT teams and DevOps engineers managing complex infrastructure

50% Faster Response 99.9% Uptime Real-Time Alerts

Prevents downtime and security breaches through real-time monitoring, automated alerts, and network topology visualization. Reduces incident response time by 50% with instant notifications and comprehensive analytics, helping teams maintain 99.9% uptime.

View Code

College Placements Assister

Web Application | Career Platform

For: College students preparing for campus placements and career success

35% Success Rate 60+ Students Guided Career Platform

Empowers students with interview experiences, company insights, coding practice, and placement statistics in one platform. Increases placement success rates by 35% through structured preparation, peer learning, and streamlined application tracking for both students and coordinators.

View Code

Simple File Sharing

Web Application | Cloud Storage

For: Individuals and teams needing secure, temporary file sharing

Military-Grade Encryption Expirable Links Fast Transfers

Provides secure file transfers with encryption, expirable links, and user authentication without the complexity of enterprise solutions. Perfect for quick collaborations, protecting sensitive data with military-grade encryption while remaining simple and fast to use.

View Code

View All Projects on GitHub

Education

Master of Science in Computer Science

Indiana University Bloomington

Bloomington, IN

August 2024 - May 2026

GPA: 3.77/4.0

Relevant Coursework: Computer Networks, Software Engineering I & II, Applied Algorithms, Applied Machine Learning, Security for Network Systems, Systems and Networking Protocols

Bachelor of Technology in Computer Science and Engineering

VIT-AP University

Amaravati, India

August 2020 - May 2024

GPA: 3.71/4.0

Relevant Coursework: Design and Analysis of Algorithms, Database Management Systems, Deep Learning, Data Structures and Algorithms, Computer Vision, Software Engineering

Certifications

AWS Certified Solutions Architect - Associate

AWS Certified Developer - Associate

AWS Certified Machine Learning - Specialty

Microsoft Certified: Azure AI Engineer Associate

Publications

Peer-reviewed research contributions in AI, Machine Learning, and Computer Vision

A Comparative Analysis of Deep Learning Models for Waste Segregation: YOLOv8, EfficientDet, and Detectron 2

Uday Vallabhaneni et al.

Multimedia Tools and Applications, 2025

9 Citations 92% Accuracy

Comprehensive comparison of state-of-the-art object detection models for automated waste classification, achieving 92% accuracy in real-world recycling scenarios.

View Publication

Feature Extraction and Diagnosis of Heart Diseases Using Fuzzy-Based IoMT

Uday Vallabhaneni et al.

Advances in Fuzzy-Based Internet of Medical Things (IoMT), 2024

3 Citations IoMT Framework

Novel fuzzy logic approach for heart disease diagnosis in IoMT environments, improving diagnostic accuracy through intelligent feature extraction.

View Publication

Advancements in Hindi-English Neural Machine Translation: Leveraging LSTM with Attention Mechanism

Uday Vallabhaneni et al.

International Research Journal of Engineering and Technology (IRJET), 2023

3 Citations LSTM+Attention

Enhanced neural machine translation system using LSTM networks with attention mechanisms for improved Hindi-English translation quality.

View Publication

Mining Mate: A Chat Bot for Navigating Mining Regulations Using LLM Models

Uday Vallabhaneni et al.

2024 10th International Conference on Advanced Computing and Communication, 2024

1 Citation Regulatory AI

Intelligent chatbot leveraging LLMs to help mining professionals navigate complex regulations, reducing compliance time by 60%.

View Publication

View All Publications on Google Scholar

Hi, I'm Uday Vallabhaneni

Full Stack Developer & Software Engineer

Skills

Programming Languages

Frontend Development

Backend Development

Cloud & DevOps

Databases & Analytics

AI/ML

Experience

Full Stack Developer; Founding Team

RiAI Capital Ltd

President

Otaku Haven Club

Projects

JIRA Software Clone

AI-Powered Blogging Platform

LLM Chat Application

Voice Cloning System

AI Trip Planner

Network Monitoring System

College Placements Assister

Simple File Sharing

Education

Master of Science in Computer Science

Indiana University Bloomington

Bachelor of Technology in Computer Science and Engineering

VIT-AP University

Certifications

Publications

A Comparative Analysis of Deep Learning Models for Waste Segregation: YOLOv8, EfficientDet, and Detectron 2

Feature Extraction and Diagnosis of Heart Diseases Using Fuzzy-Based IoMT

Advancements in Hindi-English Neural Machine Translation: Leveraging LSTM with Attention Mechanism

Mining Mate: A Chat Bot for Navigating Mining Regulations Using LLM Models

Get In Touch

Email

Phone

Location

Send me a message