Vighnesh Sivaraman
Building AI-powered enterprise platforms and cloud-native systems. 8+ years shipping production software across India and the US.
Who I Am
I'm a Senior Software Engineer & AI/ML Engineer based in West Tambaram, Chennai, India, with 8+ years of experience building enterprise-grade software
My expertise sits at the intersection of AI/ML and cloud-native engineering — I architect platforms where autonomous AI agents automate complex workflows, and conversational AI makes data accessible to everyone.
I've shipped production AI solutions using MCP servers, GPT-4, and RAG pipelines on AWS. I hold an MS in Computer Science from UT Arlington (thesis track) and have a peer-reviewed paper published at ACSAC 2023.
When I'm not building AI systems, I explore new ML techniques, contribute to open source, and write about distributed systems architecture.
What I Work With
A broad toolkit spanning AI/ML, cloud-native engineering, and full-stack development.
Generative AI & LLMs
ML & Data Science
Cloud & Infrastructure
Programming Languages
Backend & APIs
Frontend & UI
DevOps & Tooling
NLP & Data
Experience
Sr. Software Engineer
CurrentKripya Solutions Private Ltd
- ▸ Architected and deployed AI-powered enterprise automation platform using Model Context Protocol (MCP) servers on AWS ECS, enabling autonomous AI agents to execute complex workflows across project management, incident response, and knowledge management — reducing manual intervention by 70%.
- ▸ Designed and implemented conversational AI solutions for analytics translation, sustainability metrics calculation, recruitment automation, and customer support using GPT models and RAG, enabling non-technical stakeholders to perform self-service data queries.
- ▸ Led end-to-end development of an intelligent document generation system automating root cause analysis reporting from incident tickets — producing formatted PDFs and DOCX with configurable templates, timezone awareness, and priority-based triggers.
- ▸ Built enterprise integrations with the Atlassian ecosystem (Jira, Confluence) to automate ticket tracking, knowledge base updates, and incident management through AI-driven workflows, improving cross-team collaboration.
- ▸ Engineered cloud-native microservices architecture on AWS using NestJS, TypeScript, and containerized ECS deployments; implemented SigV4 authentication and managed multi-account infrastructure with CloudFormation.
- ▸ Drove modernization initiatives: ESM/CJS module migration across monorepo packages, React component library refactoring for design systems, and build pipeline optimization using Turbo and pnpm workspaces — reducing build times by 40%.
- ▸ Developed extensible UI component framework with MCP App infrastructure, custom decorators, and React hooks integration for AI-powered interfaces and prompt engineering workflows.
- ▸ Implemented observability and reliability improvements: webhook processing, event-driven architectures, multi-agent collaboration patterns, and automated incident detection with AI-powered summary generation.
Machine Learning Engineer Intern
Allic Infotech
- ▸ Developed a Python-based application for detecting individual layers of human skin from ultrasound images using an RNN model.
- ▸ Established end-to-end pipelines to package and deploy the application as a production web app.
Data Analyst Intern
Revature, LLC
- ▸ Created notebooks for ensuring data warehouse integrity and quality checks in Azure Databricks.
- ▸ Developed visual reports and dashboards using Power BI; gained expertise in data warehouse ETL pipeline design.
Graduate Research Assistant
The University of Texas at Arlington
- ▸ Developed Android applications and ML models for research on "Continuous Authentication using Human-Induced Electric Potential" — published at ACSAC 2023.
- ▸ Organized workshops and contributed to a cloud-based IoT system for real-time water quality monitoring.
Senior Software Engineer
Revature, LLC
- ▸ Led a team of five on the Operations & Management team, overseeing daily production bug fixes and feature delivery.
- ▸ Developed microservices for web applications using MySQL, Java Spring Boot framework, and Angular.
- ▸ Managed and improved product infrastructure on AWS and GCP: EC2, RDS, EKS, and Terraform automation scripts.
Projects
Academic and personal projects spanning data mining, machine learning, AI, and research.
🚨 Disaster Alert System
Analyzed tweets to classify disaster events using Naive Bayes Classifier with K-fold cross-validation for improved accuracy. Enables real-time disaster detection from social media streams.
🎨 Neura Coloriser
A Generative Adversarial Network that colorizes grayscale input images. Uses LAB color space representations and a custom self-developed GAN architecture for realistic, high-quality color generation.
Find Route
Implements the A* Search Algorithm for optimal pathfinding between states. Supports both informed (with heuristic) and uninformed search modes using Priority Queues for efficient traversal.
Sentiment Prediction
Predicts the sentiment of text using Naive Bayes classification. Trained and evaluated on labelled datasets to distinguish positive and negative sentiment with measurable accuracy improvements.
🖼️ Titanic — ML from Disaster
Classic Kaggle survival prediction challenge. Applied feature engineering, exploratory data analysis, and multiple classification models to predict passenger survival on the Titanic.
Real-Time Accident Analytics
Published research on a real-time accident detection and analytics system. Built an Android-based data collection pipeline feeding into a web analytics dashboard for incident reporting.
Academic Background
MS Computer Science (Thesis)
The University of Texas at Arlington
Arlington, TX, USA
Relevant Coursework
Publications
Continuous Authentication Using Human-Induced Electric Potential
Murali, S., Jin, W., Sivaraman, V., Zhu, H., Ji, T., Li, P., & Li, M.
Proceedings of the 39th Annual Computer Security Applications Conference (ACSAC 2023) · Association for Computing Machinery
Real-time Accident Analytics
Vighnesh Sivaraman et al.
Journal of Chemical and Pharmaceutical Sciences · ISSN: 0974-2115
Certifications
Information Systems Security Professionals
Committee on National Security Systems & National Security Agency
System Administrators Certification
Committee on National Security Systems & National Security Agency
Contact Me
Have a project in mind or want to connect? I'd love to hear from you.