Hi, I'm Ravi
AI Engineer & Data Scientist building intelligent systems — from LLM-powered platforms to computer vision pipelines.
About Me
I'm a results-driven AI & Data Engineer, currently pursuing my Master of Data Science at the University of Melbourne, complemented by a Bachelor of Science in Data Science & Applications from IIT Madras.
Presently, I serve as a Founding Software Engineer at Evolvue.ai, where I orchestrate complex cloud solutions and advanced conversational AI agents for next-generation automated assessment platforms.
My technical acumen bridges the gap between deep mathematical fundamentals and high-level software engineering — utilising tools like Python, React, AWS, Docker, and PyTorch to deliver commercial impact at scale.
IIT Madras
BS Data Science
UoM
MSc Data Science
3+ Years
Engineering
AI/ML
Specialisation
Experience
Founding Software Engineer (AI)
KRISHAI Technologies (Evolvue.ai)
- ›Spearheading the core architecture of an innovative AI-powered automated interview platform.
- ›Engineering sophisticated multi-modal capabilities integrating complex LLMs, local TTS, and STT pipelines.
- ›Driving full-stack product life cycles—from ideation to scalable cloud deployment on AWS and Kubernetes.
- ›Establishing robust CI/CD and engineering practices to ensure high availability and low-latency inferences.
Teaching Assistant — Modern Application Development
Indian Institute of Technology (IIT) Madras
- ›Facilitated deep-dive technical sessions on Modern App Development (CS2003P/CS2006P) for diverse student cohorts.
- ›Conducted rigorous code reviews focusing on scalable MVC architectures, API design, and clean coding principles.
Deep Learning Research Intern
Indian Institute of Technology (IIT) Ropar
- ›Pioneered deep learning visual pipelines focusing on histopathology using PyTorch and MONAI.
- ›Optimized large-scale CNN convergence rates and accuracy, significantly contributing to medical imaging research.
DevOps & Cloud Consultant
Biofield Power
- ›Consulted leadership to transition rapid-prototype codebases into production-hardened, globally deployable assets.
- ›Architected dual-cloud deployment strategies across GCP & AWS utilizing Nginx and automated delivery pipelines.
Education
Master of Data Science
University of Melbourne
Feb 2025 — Present (2027)
Focused on advanced machine learning algorithms, scalable cloud environments, and large-scale data engineering.
BS, Data Science & Applications
Indian Institute of Technology, Madras
Jan 2021 — May 2025
Specialized comprehensively in Mathematics, Machine Learning, and Big Data Architecture.
Featured Projects
GenAI Enterprise Learning Management System
Engineered a scalable LMS integrating Generative AI for tailored educational pathways. Deployed a sophisticated RAG-based conversational agent using local Llama 3.1 and Ollama for rapid contextual querying.
Urban Waste Classification via Computer Vision
Designed and trained convolutional neural networks to classify and segment urban waste from high-variance datasets. Iteratively optimized the pipeline to achieve high macro-accuracy and precision-recall parameters.
High-Concurrency Ticket Booking System
Architected a full-stack microservice-inspired platform using Flask and Vue.js. Mitigated DB overhead using Redis caching, streamlined async jobs via Celery, and deployed on distributed AWS EC2 instances behind Nginx.
Writing
Deploying Flask Applications on AWS EC2
Complete guide to deploying Flask applications on AWS EC2 using Gunicorn and Nginx for production-ready deployment.
DNS Configuration, SSL, and HTTP Setup
Learn how to configure custom domains, set up SSL certificates with Let's Encrypt, and secure your Flask application.