Adit Jain

Software Engineer

Gandhinagar, Gujarat, India4 yrs 1 mo experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Expert in building scalable backend systems.
  • Proficient in AI/ML pipeline implementation.
  • Strong problem-solving and analytical skills.
Stackforce AI infers this person is a Backend-heavy Fullstack Developer with a focus on AI and Machine Learning.

Contact

Skills

Core Skills

Artificial Intelligence (ai)Machine Learning

Other Skills

API DevelopmentAWSAlgorithmsAmazon Web Services (AWS)Analytical SkillsApache KafkaApache SparkAudio EngineeringBig DataBig Data AnalyticsC++CeleryCommunicationCompetitive ProgrammingComputer Vision

About

Software developer, Artificial Intelligence specialist, and a traveller. With a strong background in building scalable backend systems, implementing AI/ML pipelines, and a passion for developing clean and efficient architectures, I strive to think out of the black box and deliver innovative results. I am experienced in architecting data-intensive systems optimized for performance and reliability. I have hands-on experience with APIs, task automation, distributed processing, database systems and AI/ML integrations — from model training to deployment — all with a focus on speed and precision. Travelling and Trekking have taught me the importance of exploration, and imbued in me a competitive spirit, an ability to pursue challenges wholeheartedly, with a never-give-up mindset. My creative side consists of poetries and extends to my daily work routine. Also, I game whenever I get the chance :) I am always open to interesting discussions, opportunities and meeting new people. Reach out to me regarding any help or new experiences.

Experience

Graviton research capital llp

2 roles

Software Developer 2 (Quant Tools)

Jan 2024Present · 2 yrs 2 mos · On-site

Software Developer 1 (Quant Tools)

Jun 2022Dec 2023 · 1 yr 6 mos · On-site

Techolution

AI Intern

Dec 2021May 2022 · 5 mos · Hyderabad, Telangana, India · On-site

  • Engineered a portable robot prototype for automating door systems.
  • Implemented Voice command with 92% accuracy, supporting Wake-word Detection with 95% accuracy.
  • Improved battery efficiency by 60% using edge computing.
  • Deployed UI interface for model pipeline on AWS using StreamLit.
Voice commandEdge computingAWSUI interfaceModel pipelineArtificial Intelligence (AI)+1

Education

Indian Institute of Information Technology Vadodara

Bachelor's degree — Computer Science

Aug 2018May 2022

Jayshree Periwal High School

High School — PCM

Mar 2016Mar 2018

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