Product Development Engineer - Inkers Technology

#AI Integration
#Product Development
#Team Leadership
  • Developing and managing scalable MLOps pipelines for Observance, an AI-driven construction management platform.
  • Creating and integrating advanced automation tools along with next-generation computer vision and sensor fusion algorithms.

Computer Vision Intern - Inkers Technology

#Computer Vision
#Real-time Processing
  • Orchestrated and built a flexible and robust " Automated Processing Pipeline Management" system allowing for multiple parallel deployments, real-time monitoring of each deployment, and automated services capable of redeploying the pipeline in case of unexpected processing instance terminations.
  • Reduced cloud resources cost by a whopping 40%.
  • Redesigned and unified the processing pipeline code-base, providing seamless integration support for various Simultaneous Localization and Mapping (SLAM) algorithms such as Fast-LIO, PV-LIO, R3live, and PointLio and support for all in-house built sensor fusion devices.
  • Learned to integrate data from diverse RGB cameras and thermal devices into LOAM algorithms, resulting in the generation of information-rich colored point clouds.
  • Enhanced the defects-objects detection pipeline by implementing an odometry-based frame filtering approach, significantly reducing processing times while maintaining consistent and quantifiable outputs.

Deep Learning Intern - Bosch

#Deep Learning
#Autonomous Vehicles
  • Worked as a full-time research intern to develop cutting-edge deep learning solutions.
  • Primary areas of work included designing optimised Computer Vision models object detection and analysis.
  • Worked on building efficient methods of interpreting Point-Cloud data and LiDAR-based 3D object detection for autonomous driving using Single-stride Sparse Transformers (SST).
  • Also, experimented on Point-Cloud captioning and LiDAR-to-Image generation, using LidarCLIP.
  • Experimented on Multi-Model architectures like Contrastive Learning models(SimCLR) combined with Unsupervised learning methods for precised object detection.

Intern - PowerApps & AI - Tech Mahindra

#App Development
#Microsoft PowerApps
  • Worked as a full-time intern to design an automated framework for an existing application.
  • Designed an end-to-end AI-based entry system which increased the user interaction time in the app by 3x.
  • Used company standard methods to perform strategy assessments and implementations.
  • Participated in project meetings, with technical staff members and analysts.

Community @ AIHub.io

#CommunityPortal
#Knowledge Sharing
  • Founded AIHub.io, a startup focused on delivering AI solutions to healthcare providers.
  • Managed product development and successfully secured three major clients within the first year.