Real-Time Machine Learning
Resume:
POLABATHULA SRIRAM
( Chennai, Tamil Nadu
# ******.***********@*****.***
ï linkedin.com/in/sri-ram-679490235
§ github.com/sriram-711
SUMMARY
Proficient student with 10 months of internship experience in C, Embedded C, Verilog, HDL, Linux, HTML and CSS with a strong foundation in both software and hardware development. Specialized in embedded systems, real-time software solutions, and hardware design, with a proven track record of successfully completing over 30+ projects. Experienced in developing integrated systems that combine both hardware and software to solve complex, real-world problems. Eager to apply technical skills and practical experience in a challenging role to innovate and contribute.
INTERNSHIPS
PixelExpert Technology & Services Pvt Ltd (Intern, NOV 2024 – JUN 2025)
– Assisted in training custom image datasets and optimizing machine learning models for object detection tasks.
– Worked on ADAS (Advanced Driver Assistance Systems) projects, focusing on real-time vehicle detection and hazard identification.
– Developed and tested models to improve real-time object detection for various driving scenarios, enhancing vehicle safety.
– Designed the Cluster HMI (Human-Machine Interface) in a GUI-based environment, where alerts are displayed in the vehicle’s instrument cluster.
– Implemented UART communication between Jetson Nano and IMXRT, ensuring reliable data transfer for real- time processing.
EY Global Delivery Services (Intern, 18/12/2023 – 31/01/2024)
– Successfully completed 6 weeks of the EY Global Delivery Services internship in collaboration with AICTE on Full Stack Web Development.
CODSOFT (Intern, 20/08/2023 – 20/09/2023)
– Successfully completed 4 weeks of a virtual internship program in Web Development at CODSOFT. PROJECTS
Jetson Nano Based Custom Live Image Training and Object Detection System
- Built an object detection system using Jetson Nano by training a custom image dataset with the LabelImg tool for multi-class annotation.
- Pre-processed and labeled large datasets of road scenarios using Python and OpenCV to detect obstacles, lane markings, and vehicle status in real-time.
- Used deep learning techniques with TensorFlow and PyTorch to train custom models to detect specific road features like lane deviations and potential hazards.
- Utilized Jetson Nano’s GPU capabilities for accelerated inference, ensuring real-time processing and minimal latency for critical alerts.
- Integrated real-time predictions from the trained model into the HMI, displaying relevant alerts on the instrument cluster.
Instrument Cluster HMI Design
- Designed a Cluster HMI (Human-Machine Interface) in a GUI-based environment, displaying alerts in the vehicle’s instrument cluster.
- Developed user interfaces for critical alerts such as detected obstacles, lane departures, and vehicle status.
- Utilized the IMXRT board to drive the display, enabling real-time rendering of alerts and vehicle status on the cluster.
- Worked with MCUXpresso IDE to modify and update firmware code for the IMXRT board, ensuring smooth integration of display functions and real-time data processing.
- Implemented UART communication between Jetson Nano and IMXRT to transfer real-time data to the cluster display.
FPGA-based Image Detection and Object Identifier with AI Voice for Blind People
- Focused on using Raspberry Pi and FPGA to develop an advanced VR headset that detects objects in front of blind users and translates this information into real-time auditory feedback. 3D Printed Prosthetic Bionic Arm
- Developed a 3D-printed bionic arm equipped with EMG sensors to detect muscle signals for precise control and enhanced functionality.
- Integrated a lightweight, durable exoskeleton design, allowing for improved comfort, extended wear time, and enhanced mobility for users
Solar Tracking System
- Designed and implemented a solar tracking system to optimize solar panel efficiency by adjusting their position to follow the sun.
SKILLS
Programming Languages: C, Embedded C
Operating Systems: Linux
Hardware Languages: Verilog HDL
Web Development: HTML, CSS, JavaScript (Basics)
Tools: Keil C51, Proteus, MCUXpresso IDE, LabelImg, GUI Guider, Arduino IDE, Github, Xilinx Vivado, VS Code
Networking: Understanding of networking fundamentals, including TCP/IP, OSI model, and LAN
EDUCATION
Sathyabama Institute of Science and Technology Expected 2025 Bachelor of Engineering (B.E) – Electronic and Communication Engineering CGPA: 8.15 Srinivas Institute of Engineering and Technology 2018 - 2021 Diploma – Electronic and Communication Engineering Percentage: 70.04 Oxford Kennedy Convent High School 2017 - 2018
Andhra Pradesh Board of Secondary Education 10th Class (X) CGPA: 9.2 ACHIEVEMENTS AND EXTRA-CURRICULAR ACTIVITIES
- Secured second place and awarded a cash prize in the ”Imagathon” image processing solution coding contest held on 16/07/2024 at Sathyabama University.
- Secured first place and won a gold medal in the state-level karate competition conducted by Kakinada School Dragon Karate Kufu Academic.
CERTIFICATIONS
- Successfully completed a 12-week course on Digital Circuits by NPTEL (October 2024). Credential ID: NPTEL24EE147S952501118
- Successfully completed IT Essentials (PC Hardware and Software Course) by CISCO.
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