# Sai Sravan Manne

> Software Engineer at Amazon

Location: Greater Boston, United States
Profile: https://flows.cv/saisravanmanne

I am a software engineer at DEKA Research and Development, specializing in Computer Vision and Machine Learning, including 2D and 3D Object Detection and Segmentation. My expertise extends to Software System Design, where I've designed application level system architectures for mobile robots and medicle devices and near-real-time data processing pipelines for position tracking, alert notifications, etc. Additionally, I have a strong background in Robot Control, focusing on Localization and Mapping.

Driven by curiosity, I thrive on understanding the intricacies of why and how things fail, leading me to explore diverse areas within my field. I excel in working with and managing interdisciplinary teams, a strength that contributes significantly to driving product development.

Key Skills:
# Programming Languages: Python, C++, Matlab

# Machine Learning and Robotics: PyTorch, Keras, Scikit-learn, TensorFlow, OpenCV, PCL, ROS, Simulink, Gazebo, Determined AI

# DevOps and Infrastructure Tools: Docker, Kubernetes, FastAPI, Flask, Gitlab CI/CD, MongoDB, Postgres, Traefik, Celery, RabbitMQ, Redis, Doxygen, Ansible, Protobuf

# Project Management Tools: Jira, Confluence, Jama Connect

If you share a similar enthusiasm for cutting-edge technology and collaborative development, I look forward to connecting with you.

## Work Experience
### Software Engineer @ Amazon
Jan 2025 – Present | Seattle, Washington, United States
Last Mile Delivery - Amazon Stores

### Software Engineer @ DEKA Research & Development
Jan 2021 – Jan 2025 | Manchester, New Hampshire, United States

### Graduate Teaching Assistant (EEE 480/591: Feedback Systems) @ Ira A. Fulton Schools of Engineering at Arizona State University
Jan 2019 – Jan 2020 | Phoenix, Arizona Area
• Developed various Academic Labs for EEE 480/591: Feedback Systems 
• Taught various topics related to Classical and Modern Control Theory to students enrolled in course 
• Topics include - Analysis of Linear Systems, Linearization of Non-Linear Systems, Classical Control Design (PI/PID, Lead-Lag), Modern Control Design (LQR, LQG, Kalman Filter)

### Graduate Teaching Assistant (FSE 100) @ Ira A. Fulton Schools of Engineering at Arizona State University
Jan 2018 – Jan 2018 | Phoenix, Arizona Area
for FSE 100 - Introduction to Engineering (in-class and online)

### Graduate Research Assistant @ Intelligent Autonomous Embedded Systems Laboratory, Arizona State University
Jan 2018 – Jan 2020 | Tempe
• Designed a Low-cost autonomous parking system for an autonomous vehicle(4WS) by interfacing ultrasonic sensors with Arduino. 
• Designed outer-loop controllers for cruise control and planar cartesian control along a curve and performed design trade studies. 
• Simulated optimal time and optimal energy paths using receding horizon model predictive control (MPC) in matlab/c++.

### Software Test Engineer @ EcoCAR 3 and EcoCAR Mobility Challenge, Arizona State University
Jan 2018 – Jan 2018 | Mesa
• Simulated electric drive systems of the hybrid car for performance analysis using Simulink. Performed Software in the loop(SIL) and Vehicle in the loop(VIL) testing.

### Graduate Teaching Associate (EEE 202: Circuits I) @ Ira A. Fulton Schools of Engineering at Arizona State University
Jan 2018 – Jan 2018 | Phoenix, Arizona Area

### Software Engineer - Sensor Fusion @ AZLoop - Arizona's SpaceX Hyperloop Competition Team
Jan 2017 – Jan 2018 | Mesa
• Worked on automation controllers (cRio – National Instruments) incorporated in the competition pod which handle the data from sensors like temperature/pressure sensors, IMU and other electromechanical devices.

### Founder and Technical Lead @ i Bus
Jan 2016 – Jan 2017 | Chennai, Tamil Nadu, India
• Lead a team of six engineers during the entire product development cycle - from idea conception to manufacturing and testing 
• Pitched the product idea at India Innovation Challenge Design Contest, and successfully secured the initial product development fund and workspace at IIM Bangalore

### Machine Learning Researcher @ Tata Elxsi
Jan 2016 – Jan 2017 | Chennai Area, India
▪ Assisted in reprogramming RPN & Faster RCNN function blocks from MATLAB to Python (Tensorflow – CUDA support)
▪ Assisted in design of performance tests and training sequences (PASCAL VOC 2007 dataset) for deep learning based obstacle detection and classification system for ADAS (GPU accelerated), resulting in a 71.7 mAP(%) when tested over Kitti dataset
▪ Proposed and developed a non-neural network based region proposal system for ADAS, which demonstrated processing rate of 8.4 ms/frame (Frame size:[240,320]; Hardware: Windows workstation, Intel i5 with 8GB RAM, 3.2 GHz clock frequency)
▪ Familiarized with generation of occupancy grid map/mapping from stereo image data, and its computational constraints

### Industrial Training / Internship @ VISAKHAPATNAM STEEL PLANT
Jan 2016 – Jan 2016 | India
▪ Redesigned the old HMI (in RSView 32) of gas flow control unit in wire rod mill to display data graphs of PV, SV, MV values
▪ Collaborated with 3 others to program 1756-L55M23 (Control Logix 5555 controller) to control PARKER 590P DC Drive
▪ Involved in verifying the P & ID diagram of an inoperative heat exchanger unit in coke ovens and coal chemical plant

### Joint Technical Affairs Secretary @ Indian Institute of Information Technology Design & Manufacturing Kancheepuram
Jan 2015 – Jan 2016 | India

### Software Engineer @ SVP LASER TECHNOLOGIES PVT LTD
Jan 2015 – Jan 2015 | SVP LASER TECH DESIGN OFFICE, CHENNAI, INDIA
▪ Developed a PLC ( in FPWIN Pro) based nichrome wire temperature controller and interfaced it to the existing plant DCS
▪ Collaboratively worked in a team to develop windows application (in VB.NET) to provide a GUI for signal duty cycle control
▪ Designed and verified a MATLAB - Simulink simulation to model the automation in the tennis ball collector robot, saving 2 weeks of process design time
▪ Proposed and implemented a Python-based open source 3 axis CNC machine project, which is being utilized for employee training and high school/ college student engagement programs
▪ Prepared PCB schematics (in EAGLE) and component assembly procedure for vehicle turn indicators that enabled thecompany to enter into automotive electronics segment


## Education
### Master of Science - MS in Electrical and Electronics Engineering
Ira A. Fulton Schools of Engineering at Arizona State University

### Bachelor's degree in Electronics and Communications Engineering Design and Manufacturing
Indian Institute of Information Technology Design & Manufacturing Kancheepuram

### De Paul School


## Contact & Social
- LinkedIn: https://linkedin.com/in/sra1

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Source: https://flows.cv/saisravanmanne
JSON Resume: https://flows.cv/saisravanmanne/resume.json
Last updated: 2026-03-31