Kunal Singh Rajpurohit

Software Engineer

Tokyo, Japan1 yr 11 mos experience

Key Highlights

  • Developed an autonomous AI agent saving 70 hours monthly.
  • Achieved 96.45% accuracy in time-series analysis.
  • Created an AI-powered DevOps dashboard.
Stackforce AI infers this person is a Software Developer specializing in AI and Machine Learning within the Healthcare sector.

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Skills

Core Skills

Machine LearningDeep Learning

Other Skills

Web DevelopmentProblem SolvingPython (Programming Language)C++Data StructuresDatabase Management System (DBMS)Operating SystemsComputer NetworkingSoftware DevelopmentStatisticsData VisualizationData ModelingStatistical Data AnalysisAmazon Web Services (AWS)Communication

About

I am a software developer specializing in AI and Machine Learning, driven by a passion for building end-to-end solutions. I have a strong foundation in Python, LLMs, and modern DevOps practices, including production-grade tools like Docker, Kubernetes, and AWS. I hold a Bachelor of Technology from the National Institute of Technology Karnataka. Through a range of professional and personal projects, I have architected diverse AI systems. Highlights include developing a fully autonomous AI agent that automated over 70 hours of work per month , building a deep learning pipeline for time-series analysis that achieved 96.45% accuracy, and creating an AI-powered DevOps dashboard. Currently based in Tokyo, I am actively learning Japanese to better collaborate within the local tech community. I am always open to connecting with other professionals to discuss AI, automation, and the future of software development.

Experience

1 yr 11 mos
Total Experience
1 yr 11 mos
Average Tenure
--
Current Experience

Bemap, inc.

Software Developer

Oct 2025Present · 8 mos · Chiyoda, Tokyo, Japan · On-site

Select, inc.

Software Developer

Apr 2025Sep 2025 · 5 mos · Remote

Bemap, inc.

AI Engineering Intern

May 2024Jul 2024 · 2 mos · Chiyoda, Tokyo, Japan

  • 1) Developed a deep learning model using LSTM networks to detect the presence or absence of elderly individuals at home from smart meter data.
  • 2) Implemented Variational Autoencoder (VAE) for anomaly detection in smart meter data, enhancing the accuracy and reliability of the monitoring service
Machine LearningDeep Learning

Association for computing machinery (acm) nitk

2 roles

Executive Member - ACM

Nov 2022Apr 2024 · 1 yr 5 mos · Karnataka, India · On-site

Web DevelopmentMachine Learning

Student Member

Apr 2022Oct 2022 · 6 mos · Karnataka, India · On-site

Problem SolvingPython (Programming Language)

Education

National Institute of Technology Karnataka

Bachelor of Technology - BTech

Dec 2021Jun 2025

Govindram Seksaria Science (GSS) College, Belagavi

11th - 12th — Engineering Science

Jun 2019Jun 2021

KLS Public School (CBSE)

7th - 10th

Jun 2015May 2019

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