Jul 2024 – Sep 2024 · 2 mos · San Jose, California, United States · Remote

May 2021 – Jan 2024 · 2 yrs 8 mos · Bengaluru, Karnataka, India

• Automation
• Experience integrating third-party IoT devices with Edge.
• Developing, piloting, and delivering demos, product overviews, and architecture to customers
• Managing and maintaining services
• Concurrency
• Improving the efficiency of I/O bound calls by using async (asyncio) to make constant time from linear time
• Multithreading device upgrades to reduce the time from linear time by a factor of five
• Edge
• Brainstorming cyber-physical system designs with the senior team to solve complex client problems
• Developing Edge SDKs for client usage
• Finding vulnerabilities and reporting them to clients
• Experience working with a range of device types, including cameras(AXIS, Hanwha, ONVIF etc), NVRs(Ambient, Exacqvision, milestone etc), occupancy and light sensors, AV systems, IIoT devices, alarms, and NUCs etc.

Sep 2020 – Apr 2021 · 7 mos · India

• Developed a SaaS application from scratch called Byonic doing end to end work and was praised by the customers during PoC
• Web Application
• Creating a web app with SQL CRUD operations in the B2B martech space
• Implementing REST APIs for handling large volumes of data (over 10 million records)
• Migrating from SQL to an object-relational mapping (ORM) framework
• Deploying code in the UAT environment without downtime
• Agile environment
• Collaborating with the Scrum master and developers to provide clear design specifications
• Using pair programming to ensure high-quality code
• Security
• Implementing a secure user authentication and authorization system using one-way hashing and jwt tokens for multi-tenant operations.
• Email micro-service
• Implemented SMTP micro-service to automate system-generated emails for users.
• Experience with a range of technologies, including Python, flask, Typescript, Angular, MySQL, sqlalchemy, nginx, mongodb, scikit-learn, pandas, POSTMAN, SoapUI, git, JIRA, and Confluence.

Mar 2020 – Mar 2021 · 1 yr · Bengaluru, Karnataka, India

• Edge-based solutions with ARM Cortex
• Implementing prototype edge solutions on ARM Cortex for a smart kitchen appliance.
• Includes fetching and processing data from connected things, such as sensors and devices.
• AWS IoT Greengrass
• Used AWS Greengrass to bring AWS functionality to edge devices, allowing them to act locally on the data they generate, while still using the cloud for management, analytics, and durable storage.
• Implemented firmware over-the-air (FOTA) updates using the MQTT protocol for the core device.
• Used systemd to create service to automate the process
• AWS Lambda for Edge devices
• Implemented Local Lambda functions that can be triggered by local events, messages from the cloud, and other sources, which brings local compute functionality to connected devices.
• Used Lambda functions to filter device data before transmitting the data to the cloud.
• Optimized the Lambda functions to improve their performance and avoid errors.
• Automation
• Built in-house solutions that brought down setting-up core from 1.5 days to 1 hour, used by the whole organization.

Jan 2020 – Sep 2020 · 8 mos · Chennai, Tamil Nadu, India

• ◦ Mall-bot assistant: Built a voice-based software component for their MallKiosk, which uses Google’s Speech Recognition API for the audio transcriptions (STT), Intent identification using patterns acting as Spoken Language Understanding, Text-To-Speech (TTS) using pyttsx3 and gTTS for converting text back to speech for responding.
• ◦ Anti-Social robot: Implemented Social distancing robot using Keras (TensorFlow) pretrained YOLOv3 and OpenCV for their realtime community video streaming service on an embedded device that can be controlled remotely.
• ◦ Mask detection: Implemented Face Mask Detection using Keras (TensorFlow) ImageNet pretrained MobileNetv2 and OpenCV, finetuned on a proprietary dataset for their realtime community video streaming service on an embedded device.
• ◦ Coursework creation: Created 30 hours coursework on Robotics, Artificial intelligence, and Game development for undergraduate STEM students.
• ◦ Mentor: Mentored undergraduate students on AI and Embedded systems. Also taught primary and secondary students robotics.

May 2019 – Aug 2019 · 3 mos · Chennai Area, India

• ◦ Self-driving Industry robot: Worked with a prototype self-driving robot for industrial cargo movement. Planned paths along with maps and detected lanes with ZED stereo camera and Picam with Nvidia Jetson nano, using ROS and Rviz.
• ◦ DataMatrix Detection: Wrote code to detect Datamatrix using pylibdmtx for asset tracking, identification, and data-driven applications of the objects going on Conveyor Belts in TVS warehouses sites. pzbar library was also included to detect QR code and bar code for consumer cargo.
• ◦ OCR on metal engravings:: Built Custom Deep Learning-Based end-to-end OCR model with attention.
• Attention Ocr TensorFlow with the FSNS dataset was tested. Tesseract OCR engine, Labeler was used to identify the OCR. The model was built in Nvidia Jetson Nano.
• ◦ Studied Reinforcement Learning for robot transfer learning:: Reinforcement learning of the robotic arms by the OpenAI were studied and test with the gym package. Simulated goal-based tasks for the Fetch and Shadow Hand robots. SLAM algorithms were studied to implement with self-driving cars.