Personal Accomplishments (Competitions/Hackathons/Challenges)
India Semiconductor Workforce Development Program Fellowship – Grade I Awardee (Individual, May ’25)
- Selected for the ISWDP Grade I Fellowship from 2,800+ applicants
- Completed a 3-month, multi-level program with sessions focused on semiconductor physics fundamentals, TCAD, and fabrication processes
- Modeled a set of semiconductor devices using Synopsys Sentaurus TCAD with geometry and doping parameterization
- Ran and automated simulations using Sentaurus Workbench and command-based simulation scripting
- Analyzed simulation results using Sentaurus Inspect and Visual (electrical characteristics, carrier behavior, and field profiles)
- Listed among the Top Performers of Cohort 5 Custom Module on Electrical Characterization of Material and Device by Tektronix
FIR Accelerator SoC Proposal Accepted | Microwatt Momentum (OpenPOWER Hardware Design Hackathon)
- Proposal for a parameterizable FIR accelerator SoC accepted at the Microwatt Momentum international hardware design hackathon
- Design describes a low-power DSP accelerator with configurable taps and coefficients, using a Wishbone-Lite interface
- Proposal shortlisted for potential fabrication consideration via ChipFoundry and the Efabless OpenMPW Shuttle
ISRO IROC-U Robotics Challenge – Qualified for Elimination Round (Team, Dec ‘24)
- Ranked Top 24 nationally in IRoC-U 2025
- Participated in the eliminations round; built an autonomous drone system for GNSS-denied navigation and surface mapping
Design Events
Winners (2×) | Electronics Design Events — Tathva Annual Tech Fest, NIT Calicut (Team)
- Circuit Conclave (analog circuit design & debugging): 1st Place (Tathva ’24), 3rd Place (Tathva ’25)
- Disarmamine (digital circuit design & debugging): 3rd Place (Tathva ’24)
Circuit Design Challenges | Inter-College Technical Fests (Team)
- DCDC: Digital Circuit Design Challenge, NIT Trichy — Probe ’25: Qualified for Round 2 (digital logic design, Verilog, and testbench-based debugging on Xilinx Vivado)
- ACDC: Analog Circuit Design Challenge, IIT Madras — Shastra ’26: Qualified for Round 2 (op-amps, amplifiers, and CMOS circuit analysis)
Robotics/ML Challenges
Robotrix’24 | NIT Surathkal — Stereo Vision–Based 3D Control (Round 1 Qualified) (Individual, Dec ’24)
- Developed a simulation-based stereo vision and control pipeline for dynamic object interception in a robotics environment
- Reconstructed 3D ball position using stereo disparity, pinhole camera geometry, and camera-to-world frame transformations
- Implemented HSV-based object detection, centroid extraction, and depth recovery from synchronized stereo frames
- Performed trajectory prediction using projectile motion models and finite-difference velocity estimation
- Controlled a 3-axis actuated hoop using independent PID loops (X, Y, Z) to align with predicted intercept points
- Implemented and evaluated the full pipeline in a 24-hour robotics simulation round using CoppeliaSim
Flipkart GRiD 6.0 Robotics Challenge | Smart Vision Quality Analysis (Round 1 Qualified) (Individual, Aug ’24)
- Built a vision-based system for automated grocery quality and quantity analysis aligned with Flipkart GRiD 6.0 use cases
- Constructed a merged, re-annotated multi-domain dataset (produce, FMCG, OTC, household items) using Roboflow pipelines
- Trained a CNN-based object detection model (YOLOv7 backbone) for brand recognition, item classification, and count estimation
- Implemented image preprocessing and normalization pipelines for lighting correction, noise suppression, and background segmentation
- Designed OCR-driven label validation for brand name, pack size, MRP, and expiry date extraction with confidence filtering
- Implemented freshness assessment logic using color-shift analysis, texture deviation, geometric deformation cues, and rule-based checks
- Submitted simulation results demonstrating OCR validation, freshness detection, packaging integrity checks, and item counting
AWS Student DeepRacer Program | Reinforcement Learning & Autonomous Driving (Mar ’24)
- Participated in the AWS Student DeepRacer program through the AWS AI/ML Scholarship initiative (Udacity & Amazon)
- Completed two AI/ML courses and cleared the program evaluation test
- Trained and fine-tuned PPO-based reinforcement learning models for autonomous driving using AWS DeepRacer and Amazon SageMaker
- Placed on the global leaderboard in the AWS AI/ML Global Student League
Other Hackathons/Challenges (Participated)
C2S Chip to Startup “Digital Hackathon” – Participated (Team, Feb ‘25)
- Competed in Digital Hackathon with a focus on digital electronics, organized under C2S Chip to Startup by Ministry of Electronics & Information Technology (MeitY)
Nokia FPGA Hackathon – Participated (Team, Mar ‘25)
- Participated in FPGA Based Quiz as part of the Round 1 of the competition
Bajaj Auto Ohm Challenge – Participated (Team, Feb ‘25)
- Took part in the Bajaj Auto Ohm Challenge, an engineering competition emphasizing electrical and electronic innovations
Bharatiya Antariksh Hackathon (BAH ‘24) – Participated (Team, July ‘24)
- Developed an AI/ML-based system for automatic detection of craters and boulders from Orbiter High-Resolution Camera (OHRC) images
- Focused on enhancing planetary exploration through automation and computer vision
Bit N Build Around The World 2024 – Participated (Individual, Oct ‘24)
- 24-hour hackathon; worked on prediction of city traffic using computer vision
- Competed under the AI/ML domain