Abhilash Sahu

Software Engineer

Bengaluru, Karnataka, India12 yrs 11 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Proficient in API and Software Design.
  • Experienced in Machine Learning and Vision Processing.
  • Strong background in iOS and Cloud Services development.
Stackforce AI infers this person is a Software Engineer with expertise in SaaS and AI-driven solutions.

Contact

Skills

Core Skills

Api DesigningSoftware DesignMachine LearningVision ProcessingIos DevelopmentSdk DevelopmentCloud Services

Other Skills

AlgorithmsAndroidBashCC++DLNA TechnologyData StructuresDeep LearningGitJavaLinuxObjective-CProblem SolvingPythonShell Scripting

About

• Highly analytical Software Developer willing to take ownership of core components. • Proficient in Object-oriented designing, API Designing, Data structure usage, problem solving and debugging large-scale software system. • Experienced in the Design & Development of Web services and iOS applications. • Hands on experience of UPnP/DLNA, RESTful services. • Machine learning enthusiast, especially in vision domain, with hands on experience of Google cloud ml-engine, tensor flow and Dlib machine learning library. • Experience working with different SDLC methodologies like Agile, Waterfall.

Experience

Komprise

2 roles

Staff Software Engineer

Jul 2022Present · 3 yrs 8 mos · Hybrid

Senior Software Engineer

Oct 2019Jun 2022 · 2 yrs 8 mos · Hybrid

Amazon

Software Development Engineer - II

May 2018Jul 2019 · 1 yr 2 mos · Hyderabad Area, India

  • Worked in Amazon’s Tax Platform Services team, responsible for managing tax exemptions and validations of identification numbers related to tax calculation. Key projects undertaken:
  • Developed a service for creating customer’s tax exemption certificate and generating exemption certificate for sellers.
  • Designed and implemented a library to access customer’s exemption related data from multiple data sources.
  • Implemented a shadow testing system to test the idempotent as well as stateful APIs of the service with actual production data.
API DesigningSoftware DesignData StructuresProblem Solving

Moschip

Software Engineer, R&D

May 2017Jan 2018 · 8 mos · Pune/Pimpri-Chinchwad Area

  • Worked as part of R&D team involved in doing POCs in the field of Vision Processing using DCNN.
  • Completed Deep learning specialization courses on Coursera
  • Achieved around 90% accuracy in animal classification using Google cloud ml-engine.
  • Successfully executed a POC demonstrating a Dlib based face detection and recognition system for intruder detection on Raspberry Pi.
Vision ProcessingDeep LearningMachine Learning

Imagination technologies

2 roles

Software Design Engineer, Cloud Services

Promoted

Jan 2015Apr 2017 · 2 yrs 3 mos · Pune/Pimpri-Chinchwad Area

  • Worked as part of Caskeid team to build Caskeid Mobile SDK (iOS and Android) which allows a third-party application to incorporate Caskeid system control directly into the app’s UI.
  • Designing and developing various components of the SDK.
  • Maintaining the Jenkins build environment to facilitate automated testing and releasing the SDK.
  • Designed and developed FlowRadio SDK — An iOS framework to provide app developers with a uniform access to media content from various sources (Flow, iTunes, UPnP sources) and playback capability for this content.
  • Acted as sole project executor, completed all tasks and managed project from start to finish for project.
  • Worked as part of team developing Caskeid Controller and FlowRadio applications — Mobile apps to showcase the capabilities of Caskeid Mobile SDK and FlowRadio SDK.
  • Driving design decisions and supporting team members in development of various features.
  • Supporting project management: Bug tracking and chasing, providing task estimation, roadmap discussions, etc.
iOS DevelopmentSDK DevelopmentCloud Services

Graduate Software Engineer, Cloud Services

Jul 2012Dec 2014 · 2 yrs 5 mos · Pune/Pimpri-Chinchwad Area

  • Worked as part of the team developing Pure Connect app (iOS) — A cloud based ondemand audio streaming application based on DLNA technology.
  • Designing and developing middle layer framework to facilitate UI to interact fluently with Imagination FlowCloud web services.
  • Implementing various modules to provide services like caching library, media playback controls, social network integration, etc.
  • Customizing the app (Peaq Munet, Flow Audio) as per different IMG customer’s (PEAQ, Frontier Silicon) requirements.
  • Performance tuning and refactoring code as well as API design on requirement basis.
  • Reviewing code for other members of the team.
iOS DevelopmentCloud ServicesDLNA Technology

Education

Indian Institute of Technology, Bombay

M.Tech. — Computer Science

Jan 2010Jan 2012

Sri Shankaracharya College of Engg. & Technology

BE — Information Technology

Jan 2005Jan 2009

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