Apr 2022 – Mar 2025 · 2 yrs 11 mos · Hyderabad, Telangana, India · On-site

• Developed novel algorithms for targetless calibration of LiDAR sensors with cameras, other LiDARs, and vehicle sensors, enhancing sensor fusion in ADAS vehicles.
• Researched and implemented an efficient automatic board detection algorithm in LiDAR point clouds, improving calibration accuracy.
• Designed and deployed API support for various calibration processes, worked closely with multiple customers for smooth integration, and provided technical assistance.
• Optimised database performance and restructured code in various calibrations, improving DB efficiency by 40% and significantly reducing run latency.
• Added multiple validation mechanisms to prevent incorrect configurations and memory issues in calibration workflows
• Improved LiDAR-Camera projection visualisation by making it more intuitive and added enhanced UI features for better user interaction.
• Developed automated pipelines for data processing and uploading large-scale datasets, minimising manual effort and enhancing efficiency with Python scripts.
• Integrated the Segment Anything Model (SAM) into the annotation tool, enabling AI-assisted labelling and boosting annotators' productivity by nearly 50%.
• Developed and integrated multiple localisation algorithms to generate a more accurate fused point cloud, significantly accelerating the annotation process.
• Consistently addressed tool deployment issues in Kubernetes by managing workloads and clusters dynamically based on server demand.
• Performed dataops to convert raw data from clients to structured format of deepen and uploaded such datasets in deepen annotation

Sep 2020 – Apr 2022 · 1 yr 7 mos · Noida, Uttar Pradesh, India · On-site

• Part of bootloader security team which deals with issues related to booting of mobile when secure OS is installed in it
• Handled and implemented various security features like secure download, Rollback Prevention, OEM lock, FRP lock, write protection in Mediatek, Qualcomm and UNISOC chipests
• Crucial member of bootloader forensics project which deals with collecting crucial bootloader data, storing it in secured partitions and retrieving it which is useful to recover tempered device
• Implemented all the bootloader security features from scratch on new UNISOC chipset mobiles and developed it further

May 2019 – Jul 2019 · 2 mos · Noida, Uttar Pradesh, India · On-site

• Developed a Deep Learning model to colorize grayscale images by training neural networks using universal datasets such as ImageNet and CIFAR
• Designed and built a mobile application to capture Received Signal Strength Indicator (RSSI) data while performing various hand gestures near the device.
• Leveraged recorded Wi-Fi RSSI sequences to recognize hand gestures on a mobile device without requiring additional hardware.
• Experimented with multiple classification models for gesture recognition and achieved 92% accuracy using an SVM classifier.

Mar 2018 – Sep 2018 · 6 mos · United States · Remote

• Researched and implemented optimisation algorithms such as Genetic Algorithms and Particle Swarm Optimisation (PSO) to solve complex optimisation problems
• Developed user-friendly Excel spreadsheets with Excel/VBA to streamline computations and enhance usability.
• Applied these algorithms to solve definite integrals, partial differential equations, and stiff differential equations that cannot be addressed using conventional analytical methods.

Jul 2017 – May 2018 · 10 mos · Kharagpur I, India

• • Elected as General Secretary, representing all boarders, overseeing the budget allocation for library book purchases, and leading the publication of the annual hall magazine.

Sep 2016 – Apr 2017 · 7 mos

• • Served as Secretary of Maintenance, collaborating with fellow secretaries to efficiently manage maintenance budget and ensure smooth hall operations.