Feb 2025 – Sep 2025 · 7 mos · Bangalore Urban, Karnataka, India · Remote

• Build Autonomous Drones And UAVs [Unmanned Aerial Vehicles]
• Built advanced autonomous drone simulation pipelines, modeling dynamic 3D aerial environments like urban canyons, rural landscapes, and adversarial zones (e.g., powerlines, birds, GPS blackouts).
• Developed 4D perception systems combining Kalman Filters, Deep SORT, and 3D bounding box tracking for object detection and multi-target tracking using LiDAR and RGB-D data.
• Engineered sensor fusion pipelines leveraging stereo vision, point clouds, optical flow, and SegFormer-based image segmentation for real-time 3D scene understanding and obstacle avoidance.
• Designed and trained HydraNets and Deep Point Cloud networks for joint semantic segmentation, depth estimation, and object detection — enabling robust performance in cluttered, low-light, and GPS-denied environments.
• Implemented 3D reconstruction modules using visual SLAM, stereo matching, and bird’s-eye view projection for dense environmental mapping and autonomous navigation.
• Integrated and optimized LiDAR-based object detection frameworks (e.g., PointPillars, PV-RCNN) for real-time onboard inference on Jetson Nano and NVIDIA Orin NX.
• Built a ROS2-based distributed perception and control stack, synchronizing input from LiDAR, IMU, camera feeds, and GPS, ensuring high-fidelity sensor fusion and reliable actuation commands.
• Developed continuous integration pipelines for simulation and hardware testing using a custom-built CI/CD feedback system for model deployment validation and tuning.
• Created a PID auto-tuning system using Genetic Algorithms, robust against real-world disturbances (wind, elevation shifts, sensor drift), with adaptive RL-based control using PPO for dynamic waypoint tracking, loitering, and evasive maneuvers.
• Worked across European and Asian low-altitude flight models, simulating crowded airspaces with dynamic obstacles, signal interference, and unstructured terrain for global deployment readiness.

Jan 2023 – Jun 2023 · 5 mos · Surat, Gujarat, India · Remote

• Conduct CFD simulations to predict & analyze the behavior of fluid flows in and around aircraft components, such as wings, fuselages, engine nacelles, and control surfaces. This involves setting up the computational models, applying appropriate boundary conditions, meshing techniques, and solving the governing equations numerically
• Collaborate with the design teams to improve aerodynamic performance and reduce drag by suggesting design modifications based on CFD analysis. Use optimization techniques to refine the geometry and configurations of aircraft components, taking into account factors like lift, drag, stability
• Collaborate with multidisciplinary teams of engineers & professors, including aerodynamicists, structural engineers, and system designers, to achieve integrated solutions and ensure the compatibility of aerodynamic designs with other engineering aspects.
• Document the CFD methodologies, assumptions, and results for future reference. Prepare technical reports and presentations summarizing the findings and recommendations for design optimization.
• latest advancements in CFD methodologies, turbulence modeling, and numerical techniques to continuously improve simulation accuracy and efficiency. Contributing to research efforts and participating in the development of innovative tools and methodologies.

Aug 2021 – Dec 2022 · 1 yr 4 mos · Surat, Gujarat, India

• During a career break spanning one year, I dedicated myself to rigorous preparation for the (GATE) with a focus on the Mechanical Engineering discipline. This break allowed me to invest my time and efforts in expanding my technical knowledge and skills in pursuit of professional growth and development.
• Recognizing the significance of staying updated with the latest advancements in my field, I embarked on a journey of comprehensive GATE preparation. Throughout this period, I committed myself to a disciplined study routine, utilizing various resources, study materials, and online platforms to enhance my understanding of core Mechanical Engineering concepts.
• Over the course of the year, I delved into subjects such as Design engineering, thermal engineering, and production engineering subject to strengthen my grasp of fundamental principles. I dedicated countless hours to solving problems, engaging in extensive self-study, and practicing previous years' question papers to improve my problem-solving abilities and time management skills.
• To augment my learning experience, Collaborating with like-minded individuals not only enriched my knowledge but also exposed me to diverse perspectives and innovative problem-solving techniques.
• This career break provided an opportunity for personal growth as well. It instilled in me the virtues of resilience, discipline, and perseverance, which are essential qualities for success in any professional endeavor. It also reignited my passion for lifelong learning and fueled my determination to excel in the field of Mechanical Engineering.
• I am proud to share that my dedication and hard work paid off, and I successfully cleared the GATE Mechanical Engineering paper with Air Rank: 57 & 74.99 Marks. This achievement validates my technical competence and serves as a testament to my commitment to excellence.