
Embedded Systems Engineer with 10+ years of experience in processor, FPGA, microcontroller, and sensor-based product development. Expertise in hardware/software architecture, high-speed board design, debugging, system validation, and end-to-end embedded product development. Proven ability to identify and resolve complex hardware and software issues while delivering reliable and cost-effective solutions
Project4: CCTV Surveillance Camera
Client: DELOPT | Duration: 2025 Feb- 2026 June- 1 year 5 months
Role: Design Lead Engineer
Project Summary:
Developed a 5MP IP Bullet Surveillance Camera for security and surveillance applications. The camera architecture comprised four major hardware modules: Image Sensor Card (OmniVision OS05B10), Renesas RZ/G3E-based SoC Card, PoE Power Supply Card (MP8008), and IR LED Card. The system supported MIPI CSI-2 image acquisition, H.264/H.265 video compression, IP video streaming, ONVIF profile compatibility, audio support, and intelligent day/night vision with IR illumination control. The platform was designed for STQC compliance and incorporated cybersecurity features such as Secure Boot, Secure Storage, Secure Video Streaming, and HTTPS-based communication, making it suitable for government and enterprise surveillance deployments.
Key Responsibilities:
• Defined hardware architecture and selected key components based on performance, cost, and lifecycle requirements.
• Designed and reviewed schematics for Image Sensor, SoC, PoE, and IR LED modules.
• Integrated OmniVision OS05B10 image sensor with Renesas RZ/G3E SoC and validated high-speed interfaces.
• Coordinated with software teams for Linux BSP, image sensor driver integration, and video streaming validation.
• Managed PCB layout reviews, board bring-up, debugging, functional testing, and system integration.
• Supported mechanical design, thermal analysis, cybersecurity implementation, and STQC compliance activities.
• Coordinated with vendors and cross-functional teams throughout the product development lifecycle.
Project3: People Counting System (PCS) – Stride Plus
Client: DELOPT | Duration: Jul 2024 – Jan 2025 (7 Months)
Role: Design Lead Engineer
Project Summary
Stride Plus is an advanced AI-based People Counting System designed for retail, commercial, and public environments. The system utilizes a Raspberry Pi 5 processor and Intel RealSense D415 Depth & RGB camera to accurately count people, track movement, and generate occupancy analytics. The custom carrier board integrates PoE/PoE+ (MP8009) power management, RTC, temperature monitoring, authentication module, RS-422 communication, GPIO interfaces, and power status monitoring. The system leverages depth sensing for reliable night-time counting and RGB-based analytics during daytime operation. Data is transmitted to a central server for live monitoring, video streaming, scheduled recording, group counting, child counting, and staff identification through tag-based tracking.
Key Responsibilities
Project2: People Counting System (PCS) – Stride
Client: DELOPT | Duration: 2023 Feb- June 2024- 1 year 4 months
Role: Hardware Lead Engineer
Project Summary:
Stride is a People Counting System (PCS) designed to monitor and analyze pedestrian movement using an Intel RealSense D410 depth camera and Raspberry Pi 4B platform. The system detects and tracks people crossing configurable virtual lines, generating accurate occupancy analytics. Count data, live video streams, recordings, group counts, and child counts are transmitted to a centralized server and visualized through a web-based dashboard. The hardware platform includes a custom carrier card featuring PoE power management, RTC, authentication module, temperature monitoring, RS-422 communication, GPIO interfaces, and supercapacitor-based safe shutdown functionality.
Key Responsibilities:
Project1: Instrumentation Data Acquisition System (IDAS)
Client: NSTL | Duration: March 2022 – Jan 2023 10 Months
Role: Hardware Lead Engineer
Project Summary:
Worked on the verification and validation of an Instrumentation Data Acquisition System (IDAS) comprising CPU, MRAM, MTU, Power Supply, Mother Board, and Front Connector Cards. The CPU Card was based on the TMS570LS3137 microcontroller and XC6SLX9-2FTG256 Spartan-6 FPGAs with Ethernet, ADC, SDRAM, NAND Flash, SPI Flash, UART, and USB interfaces. The MRAM Card utilized an XC6SLX9-2FTG256 Spartan-6 FPGA with MR4A16BCYS35 MRAM. The MTU Card incorporated SATA Flash, SPI Flash, and Relay interfaces. The Power Supply Card included EMI/EMC filters and DC-DC converters. All modules were interconnected through a Mother Board and Front Connector Board using rugged circular connectors for system-level integration.
Key Responsibilities:
Company Overview:
Lumisense Technologies Private Limited is an embedded systems and product engineering company specializing in the design, development, testing, and validation of hardware and embedded solutions for industrial, automotive, and electronics applications.
Key Responsibilities
Worked as a Claim Analyst in the healthcare domain, responsible for processing and adjusting Medicaid and Children's Health Insurance Program (CHIP) claims in accordance with provider requests and client guidelines. Managed claim adjustments, provider contract maintenance, quality assurance activities, and client escalations while ensuring compliance with healthcare regulations and service-level agreements.
Handled healthcare insurance claim adjudication using FACETS, ensuring accurate claim processing through eligibility verification, benefit analysis, payment validation, and compliance with Medicare and client guidelines. Supported quality improvement activities through audits and knowledge-sharing sessions.
I have a strong interest in Embedded Systems, Electronics, and emerging technologies. I enjoy learning about new hardware platforms, product innovations, and industry trends, which helps me continuously enhance my technical skills and stay current with technological advancements.