Dec 2024 – Nov 2025 · 11 mos · Bengaluru, Karnataka, India · On-site

• Deployed an end-to-end computer vision-based embedded Machine Learning object detection and tracking model on Jetson Nano Orin.
• Developed a three-camera drone simulation platform using Unreal Engine 5 for training computer vision models.
• Collaborated with the Algorithms team to simulate the working of image signal processing blocks for various image sensors.

Sep 2022 – Dec 2024 · 2 yrs 3 mos

• Winner of JLR global Hackathon 2024.
• Created a first-of-its-kind Remote Parking Simulation Tool and modeled various remote parking
• scenarios using Unreal Engine 5.
• Tutored a team of 5 graduate engineers in topics like procedural generation, blueprint workflows,
• Virtual Reality, and game optimization.
• Released the remote parking simulation tool as an open-source resource within the company for any
• employee to use and study simulation design, available on Windows and Android platforms and further
• made it available in browser throughout Jaguar Land Rover using Unreal Engine pixel streaming.
• JLR Research and Development Project: Virtual Showroom
• Created a Virtual Reality (VR) android experience named Virtual Showroom, integrated as part of the
• Metaverse project as a single person project.
• Contributed to the inception of the JLR metaverse project through the development and integration of
• the Virtual Reality showroom experience.
• Designed the Virtual Showroom to create a unique experience distinguishing Jaguar and Land Rover
• from other car brands, using Unity 3D Engine and Blender for 3D models of cars and environment.
• Ensured the VR experience is accessible to users with only an android phone.
• Filed for an innovation patent for this project, currently awaiting legal approval.

Jun 2021 – Sep 2022 · 1 yr 3 mos

• 1. Aided In Developing a patented Diagnostics Tool: Contributed to creating the patented Jaguar Land Rover diagnostics Octopus tool, diagnosing engine health using engine sound.
• 2. Generated System Requirements: Collaborated with the ADAS team to define system requirements, enhancing the functionality and safety of advanced driving systems.
• 3. Simulated Driver Scenarios: Simulated driver scenarios and use cases in Simulink and Microsoft DOORS, improving system reliability and performance.
• 4. Enhanced Vehicle Safety: Worked on innovative ADAS features, leading to improved vehicle safety and user experience.

Mar 2021 – Jun 2021 · 3 mos

• 1. Patented Tool Development: Contributed to creating the patented diagnostics Octopus tool for engine health analysis using machine learning.
• 2. Engine Sound Analysis: Applied ML algorithms and audio signal processing to diagnose engine issues from sound data.
• 3. Model Training & Optimization: Trained and optimized ML models for high accuracy and reliability in diagnostics.

Sep 2020 – Mar 2021 · 6 mos

• 1. Developed CI/CD Pipelines: Reduced deployment time by 40% with robust CI/CD pipelines.
• Automated Infrastructure: Cut setup times by automating infrastructure provisioning with Terraform and Ansible.
• 2. Enhanced Monitoring: Improved system observability and reduced incident response times by 30% using Prometheus, Grafana, and ELK stack.
• 3. Optimized Cloud Resources: Achieved a 25% reduction in cloud costs while maintaining performance by migrating and optimizing applications on AWS/Azure.
• 4. Implemented Containerization: Enhanced scalability and resilience with Docker and Kubernetes.
• 5. Strengthened Security: Reduced security vulnerabilities by 50% through automated scans and compliance checks.
• 6. Optimized Processes: Improved project delivery speed by identifying bottlenecks and implementing Agile methodologies.
• JLR Research and Development project: Intelligent Chatbot
• Developed an intelligent chatbot integrated with the existing app using Kotlin and Java in DialogFlow.
• Researched and implemented machine learning techniques to enhance chatbot feedback and performance.
• Conducted market and literature surveys to gather insights on chatbot technologies and best practices.
• Tools Used: Kotlin, Java, DialogFlow, NLP engines (e.g., DialogFlow, Wit.ai, Watson)

May 2019 – Jul 2019 · 2 mos · IIT Madras

• Finite element analysis of air foil journal bearings. It required vast knowledge in the area of Tribology and finite difference methods as well.

Dec 2018 – Jan 2019 · 1 mo · Chennai Area, India

• Events coordinator for shaastra 2k19 in which I was responsible for designing various arenas for several robotic events and also to ensure their proper functioning.

May 2018 – May 2018 · 0 mo · Bidar Area, India

• Teaching underprivileged students of JNV Bidar, JEE level concepts and problem solving approaches along with mental training, stress relief and problem solving tips that increased the number of JEE selections by 4 more than previous year's.

Dec 2017 – Jan 2018 · 1 mo · Chennai Area, India

• Hospitality coordinator in the Inter-IIT sports fest of 2018.Helping in regulating various departments of the hospitality sector of the inter IIT 2018 such as safety and security, package distribution etc.

Aug 2016 – Sep 2020 · 4 yrs 1 mo · Chennai Area, India

Aug 2016 – Aug 2018 · 2 yrs · IIT Madras NCC

• NCC A and B certificate holder.