Aug 2020 – Oct 2022 · 2 yrs 2 mos · Bengaluru, Karnataka, India

• Data Virtualization Team
• 1. Designed and Developed in-house data streaming framework to support data pipeline creation along with transformation of business data using Kafka and Kafka Streams Java API.
• 2. Transformed and aggregated data consumed by Grafana to create insightful KPIs, Alarms and Events, ML models and real time UI updates which serves as a value added product offering.
• Customer Team
• 1. Worked on developing microservice application for automated warehouse solutions for Crane device storage functionality. Used Spring Boot, SQL database, Messaging Queue (RabbitMQ), Swagger, Camunda Workflow for process automation, REST API calls.
• 2. Practiced TDD with robust JUnit tests and Component Testcases written with Cucumber.
• 3. Involved in estimations, review, coding, design, requirement analysis, estimations, and implementation of epics

May 2019 – Sep 2019 · 4 mos

• Contributor to gprMax through Google Summer of Code 2019. I have worked on porting their CUDA based simulation engine to OpenCL based to support heterogeneous computing architecture.
• Please find the blogs at spacevstab.github.io

May 2019 – Jul 2019 · 2 mos · Greater Bengaluru Area

• ◦ Worked with production team to transform R based income class predictor into distributed platform PySpark ML model
• ◦ Setup AWS cloud computing node for benchmarking performance and comparing various Machine Learning algorithms
• ◦ Integrated the ML model with PySpark pipeline to automate model execution to reduce manual operation time by 80%

Dec 2018 – Jan 2019 · 1 mo · Gurgaon, India

• ◦ Modeled a novel approach for hand written text recognition using Convolutional Sequence to Sequence networks
• ◦ Obtained character error of 7.3% on IAM Handwritten dataset along with reduction in total training and inference time
• ◦ Find the Github Repository for the work carried out at https://github.com/spaceVStab/ConvSeq2Seq-HTR

May 2018 – Jul 2018 · 2 mos · Bengaluru Area, India

• ◦ Used D3.js JavaScript library to visualize call graphs extracted from Flight Warning System source code with 3000 services
• ◦ Integrated visualizer with Flask to perform graph operations like find simple paths and breadth first search using NetworkX
• ◦ Deployed web application on local network to use by Airbus Engineers for errors debugging and multi-thread analysis

Jan 2018 – Apr 2018 · 3 mos · Remote

• Implementing Motion Detection algorithm in Python for Raspberry Pi System.
• Written a Python wrapper for the implementation which can be called remotely to set parameters as well as to handle Pi Camera.
• Enriched the sparse dataset of product images with image processing tools for training purposes.
• Developed a product based classifying tool for Raspberry Pi using the MobileNet Architecture for Image Classification.

Mar 2016 – Mar 2018 · 2 yrs · IIT Kharagpur

• ● Designing and fabrication of Small Sized League based closed loop controlled electronic circuit
• ● Designing the circuits based on ARM Microcontrollers, devised communication systems and control loop algorithm
• ● Participated in Small Sized League RoboCup - 2017, Japan