Ashwin Prasanth Hariharan

About Ashwin Prasanth Hariharan

Building efficient AI hardware and accelerator systems, spanning DSP pipelines, FPGA design, real-time data acquisition, and embedded intelligence.I focus on Digital Signal Processing (DSP) for system analysis, spectral methods, and efficient hardware implementation, along with FPGA design and embedded systems.My interest lies in translating machine learning models into efficient hardware through digital design, optimization, and hardware–software co-design.Upcoming FPGA Accelerator Intern @ National Chung Cheng University (CCU), Taiwan (Summer 2026), focusing on FPGA-based OTFS DSP architectures for 6G systems, including pipelined FFT/ISFFT design, streaming datapaths, and fixed-point optimization. Education:• B.Tech in Engineering Physics — IIT Ropar (2028)• BS in Electronic Systems — IIT Madras (2028)• Minor in CSE & Advanced Technologies — IIT Mandi (2025)• ACM India Winter School — Edge AI, IISc Bangalore (2026) Key Areas:• DSP-driven digital design and computation• FPGA-based signal processing and ML pipelines• ML-to-hardware mapping and quantization• Hardware–software co-design• Semiconductor fundamentals for efficient compute🧪 Selected Projects:• Designing FPGA-based OTFS modulation using delay–Doppler domain DSP pipelines and FFT/ISFFT architectures• Designing data acquisition and signal processing workflows using ADALM-M1K for real-time signal analysis and system characterization• Simulating semiconductor device and process behavior (MOSFET/FinFET) using Synopsys Sentaurus TCAD• Developed a real-time Edge AI pipeline on Raspberry Pi for posture monitoring, integrating pose detection models with embedded systems• Built ML pipelines from first principles (PCA, LDA, SVM, Bayesian models, KLDA) for industrial sensing systems, reducing sensor count by ~40% using Ant Colony Optimization (ACO) and mutual information-based optimization• Built embedded system pipelines for low-power sensing applications Interests:AI accelerators, FPGA-based systems, and efficient compute architectures for next-generation applications. Open to:Research collaborations and internships in AI hardware, FPGA systems, DSP, and embedded AI.

Experience

1. Def-space Tech Intern

   Bharat Space Education Research Centre

   Dec 2025 — Present · IN

   Studied aerospace systems including rocketry, aerodynamics, UAVs, and robotics• Designed & analyzed a surveillance drone system with propulsion, airframe & sensor integration• Conducted a tail-sitting VTOL UAV design study, evaluating thrust, loads, and flight transitions• Explored PX4 and ArduPilot architectures, including autonomy stacks and fail-safe control strategies• Developed system-level understanding of UAV design and mission-driven engineering trade-offs

Education

• Central Board of Secondary Education (CBSE)

  High School Diploma, Science Mathematics and Computer Science

• Clever Harvey

  Junior MBA, Business Administration and Management, General

• Indian Institute of Technology, Madras

  Bachelor of Science - BS, Electronic Systems

• FIITJEE

  JEE (Mains and Advanced) , Physics, Chemistry and Mathematics

• Indian Institute of Technology, Mandi

  Minor in CSE and Advanced Technologies (CCE Program), Computer Science and Engineering

• Indian Institute of Technology, Ropar

  Bachelor of Technology - BTech, Engineering Physics

• Indian Institute of Management Rohtak

  Junior CTO, Product Management & Technology Leadership