Prem Abhinav P.

AI Researcher

Hyderabad, Telangana, India6 yrs experience
AI EnabledAI ML Practitioner

Key Highlights

  • Expert in developing Computer Vision models.
  • Strong background in Machine Learning and Software Development.
  • Experience in Fintech with cloud-native microservices.
Stackforce AI infers this person is a Fintech-focused Machine Learning Engineer with expertise in cloud-native solutions.

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Skills

Core Skills

Computer VisionEdge AiSoftware DevelopmentMachine Learning

Other Skills

PythonSparkJavaSpring BootClojureNode.jsApache KafkaC++CHTMLCascading Style Sheets (CSS)AngularJSGitDjangoMongoDB

Experience

Motive

Machine Learning Engineer - Perception

Aug 2025Present · 7 mos · India · Remote

  • Contributing to the driver safety team to develop and enable state of the art CV models on their AI dashcams.
Computer VisionEdge AISoftware Development

Qualcomm

Senior Software Engineer

Sep 2023Aug 2025 · 1 yr 11 mos · Hyderabad, Telangana, India · On-site

  • I am currently working in the AI software division of Qualcomm in the CPU backend team, to support features in QNN, an AI framework that optimizes and runs AI models efficiently on edge devices.
  • Involved in implementing new ML operations in the framework, enabling state of the art models on their latest chipsets, optimizing performance in CPU backend, solving accuracy issues for customers, etc. Mainly focusing on Computer Vision models.
Software DevelopmentMachine Learning

Aisera

Software Engineer

Mar 2023Sep 2023 · 6 mos · Remote

  • Worked in the AppSync team that enables cloning of chatbot backend data across multiple apps.

Shipt

Machine Learning Intern

Jun 2022Sep 2022 · 3 mos

  • Shipt is an online service that enables same-day delivery of products to it’s customers by connecting its shoppers with local stores.
  • I am contributing to the ML platform, which helps data science teams productionize their projects.
  • I am currently developing the data simulation feature of the platform which enables data scientists from various teams to generate synthetic data to validate their ML models. The tech stack involves Python and Spark.
PythonSparkMachine Learning

Edgeverve

2 roles

Technology Analyst (SDE)

Jun 2018Jun 2021 · 3 yrs · Bengaluru Area, India

  • Finacle is the market’s leading banking solution powering banks across 100 countries with over 1.3 billion accounts. I am part of Finacle's next big step to make ”banking as a platform” a reality.
  • Finacle Analytics & AI:
  • ∗ "Engagement Microservice" (EMS) helps banks achieve their intents by enabling intelligent notifications to engage the customers based on their context such as date, location, device type, etc.
  • ∗ I have primarily worked on its proprietary ranking algorithm using machine learning, duplex communication with the customer using bpmn workflows and enabling customer insights through the EMS dashboard. I have used the MEAN stack for developing these features.
  • ∗ I have also been involved in giving technical demos of the product to several banks as well as teams within the organization after its release. These discussions have exposed me towards the business side of the product.
  • ◦ Core Banking:
  • ∗ Project ”Mercury” is a framework for developing cloud-native banking microservices that follow principles of domain-driven design. It has been developed using Java and SpringBoot.
  • ∗ As the sole owner for ”transaction-manager”, a highly scalable and composable microservice for core banking transactions, I have gained valuable experience in all phases of agile software development involving functional requirements, design, development, automated testing, and deployment.
  • ∗ I have suggested and designed processes to be used by the entire team such as static code analysis, consumer-driven contract testing, behavior-driven development, dockerization, etc in order to achieve high quality in our deliverable,
  • ◦ Loans Re-imagined:
  • Showcased ”Loans Re-imagined”, a microservice for the next generation of loans, leveraging clojure, a functional language to handle domain complexity and concurrency seamlessly.
JavaSpring BootClojureSoftware DevelopmentMachine Learning

Research and Development Intern

May 2017Jul 2017 · 2 mos · Bengaluru, Karnataka, India

  • I have worked on "Video Mining" application in their Robotic process automation suite, that aims to mine actions and artifacts from screen recorder videos and essentially replay the same processes in another machine.
  • ◦ Screen Recorder:
  • Built a screen recorder tool for generation of corpus data from screen recordings and used OpenCV for image pre-processing using techniques like localised binarization, difference imaging.
  • ◦ OCR:
  • Performed Optical character recognition on the images using Tesseract OCR Engine and post processed them using techniques such as Bi-word indexing, spell checking the output text.
  • ◦ Replay Engine:
  • Built a Replay Engine for replaying the actions by extracting text-coordinates and performing window actions using Java abstract window toolkit.

Telennium solutions

Full Stack Developer

May 2016Jul 2016 · 2 mos · Greater Hyderabad Area

  • Telennium is a technology startup in the financial domain, its products enable financial access to last mile using technologies, their product MovileDin Wallet serves as a versatile platform for mobile money services.
  • ◦ Analytics Platform: Set up an analytics platform for data visualiation with custom authentication, layouts and integrated it with the application and its database.

Origin learning

Web Developer

Dec 2015Jan 2016 · 1 mo · Greater Chennai Area

  • Worked on their product ‘Konnect’ a learning platform that includes social learning and analytics. I developed a browser extension for users to share media to Konnect.

Education

University of Wisconsin-Madison

Master’s Degree — Computer Science

Sep 2021Dec 2022

Indian Institute of Technology, Madras

BTech — Computer Science

Jan 2014Jan 2018

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