Ravindranath Sawane | Personal Website

About Me

Results-oriented AI/ML Engineer with a Master’s in Computer Science and hands-on experience developing and deploying machine learning, deep learning, and generative AI solutions.

Currently driving innovation at Kinaxis by building multi-agent systems and AI workflow automation for supply chain intelligence. Proven track record in designing and optimizing end-to-end AI pipelines, integrating models into production environments, and delivering scalable, data-driven solutions.

Strong technical expertise in Python, LLM, RAG Systems, LangChain, PostgreSQL, Azure, and GCP. Passionate about leveraging AI to solve complex real-world problems and deliver measurable business impact.

Skills & Expertise

Languages

Python R MATLAB C++

ML/AI

TensorFlow PyTorch Keras Scikit-learn YOLO OpenCV LangChain GPT/Gemini RAG LLM

Tools & Platforms

Kubernetes Docker Azure GCP Git Jupyter Flask Plotly Slurm Actions Helm Argo

Databases

SQL PostgreSQL MongoDB

Experience

AI Solutions Developer

Kinaxis Inc., Toronto, ON

Sep. 2025 – Present

Working on Kinaxis’ agentic framework design to automate tasks and enhance user experience via Maestro platform.
Developing AI Worksheet Agents for getting Supply Chain Insights from Maestro.
Building and refining multi-agent architecture with Google Cloud and Azure AI to solve complex workflows.
Developing Agentic Systems for enhanced automation and decision-making.

Graduate Research / Teaching Assistant

Western University, London, ON

Sep. 2023 – Aug. 2025

Conducted research on Gaze-Aware Driver Maneuver Prediction Using Object Detection and Sequential Deep Learning Models for ADAS.
Developed state-of-the-art Model Sliding Window for LSTM, GRU, and TCN for improving lane change prediction accuracy.
Applied YOLO-based object detection for traffic sign and traffic light recognition.
Served as Graduate Teaching Assistant for OOP, Analysis of Algorithms, and CS Fundamentals.

Artificial Intelligence Research Assistant

IGDM Lab - University of Calgary (Remote)

Jan. 2023 – July 2023

Developed an interactive tool to visualize and animate road network traffic patterns using geospatial data.
Implemented Augmented Spatiotemporal Graph Convolutional Network for Traffic Forecasting (ASTGCN).
Optimized logistics operations with AI-driven solutions, reducing delays and costs in parcel delivery services.

Globalink Research Intern

MITACS / IGDM Lab - University of Calgary

July 2022 – Sep 2022

Optimized regional logistics network for parcel delivery services, enhancing route efficiency.
Built and evaluated time series and deep learning models (ARIMA, HA, LSTM, GRU, XGBoost) for demand, driver, and speed prediction.

Featured Projects

Kinara RAG Chatbot

Developing a Retrieval Augmented Generation (RAG) Chatbot using Large Language Models on Kinaxis Maestro Platform.

LLM RAG Maestro

JIRAXIS AI Assistant

Advanced AI-powered assistant using Google Cloud ADK to manage JIRA issues with Gemini 2.5 Pro and specialized sub-agents.

GCP Gemini AI Agents

Driver Maneuver Prediction

Gaze-Informed Driver Maneuver Prediction using Object Detection and Sequential Deep Learning Models (LSTM, GRU & TCN) for ADAS.

Deep Learning Computer Vision ADAS

Supply Chain Optimization

Reinforcement learning and time-series models (LSTM, ARIMA, Holt’s) to optimise parcel delivery supply chains and enable GIS-based route mapping.

RL Time-Series GIS

Assistive Navigation System

Deep learning–based assistive navigation system for the visually impaired, utilising computer vision and NLP for real-time scene understanding.

CV NLP Accessibility

Mask Detection System

Real-time mask detection and student identification system using deep learning and computer vision techniques.

Deep Learning CV Real-time

Education

Masters of Science in Computer Science, AI

Western University, London, Canada

Sep. 2023 – Aug. 2025

CGPA: 3.9/4

Bachelor of Technology in Artificial Intelligence

Nagpur University, Nagpur, India

Aug. 2019 – July 2023

CGPA: 8.9/10

Publications

Gaze-Aware Driver Maneuver Prediction Using Object Detection and Sequential Deep Learning Models for Advanced Driver Assistance Systems (The University of Western Ontario, 2025)

Incorporating Deep Q–Network with Multiclass Classification Algorithms (arXiv preprint, 2023)

A Real-Time Mobile-Net Approach for Mask Detection and Identity Identification System (IJECS, 2022)

Comparison of Various Machine Learning Techniques Based on Variable Selection under Imbalanced Data (IJEDR, 2022)

The Comparison of Supply Chain Management using Quantum Computing and Classical Computing (IJCRT, 2022)

Achievements

Awarded a total of CAD $88,000 in competitive funding through MITACS and Western University to support research and master’s studies.

Awarded the IEEE Computer Society Richard E. Merwin Scholarship (Spring 2022), recognising leadership and academic excellence with a USD $1,000 reward.

Hello, I'm Ravindranath Sawane