Abhinav Japesh

Software Engineer

Gurugram, Haryana, India4 yrs 2 mos experience

Key Highlights

Published research on anomaly detection in IEEE-SSP journal.
Automated sleep stage diagnosis using advanced signal processing.
Developed Foreign Training Portal for research internships.

Stackforce AI infers this person is a Machine Learning and Software Development specialist with a focus on SaaS and Healthcare.

Contact

Skills

Core Skills

JavaReact.jsMachine LearningData AnalyticsData Processing

Other Skills

AlgorithmsApache KafkaBadmintonC (Programming Language)C++CIFAR10Data StructuresDeep LearningDjangoEEGEMGElasticsearchFeature extractionGraphQLGraphical User Interface (GUI)

About

My name is Abhinav Japesh, Sr. Software dev at SuperAGI. I did my bachelors from Indian Institute of Technology Kharagpur. Being passionate about technology, I have a keen interest in learning almost any new technology and related nuances, enjoy coding, and have worked in my college quite some time in Data Analytics, Machine Learning, Software Development in general and competitive coding. As a person, I love to explore different cultures, work-related fields, cuisines, places and love to interact with people though not on politics at all. Passionate about technology and specifically games so always up for a discussion, reviews, and recommendations on them. I enjoy traveling, listening, and playing music so always there for such plans .

Experience

Superagi

Senior Software Engineer

Apr 2025 – Dec 2025 · 8 mos

Sprinklr

2 roles

Product Engineer

Jul 2023 – Apr 2025 · 1 yr 9 mos · Gurugram, Haryana, India

Next.jsJavaC++ElasticsearchTypeScriptReact.js+2

Product Engineering Intern

May 2022 – Jul 2022 · 2 mos · Gurugram, Haryana, India

Next.jsJavaKubernetesTypeScriptReact.js

Deakin university

Research Intern

May 2021 – Sep 2021 · 4 mos · Victoria, Australia

Developed an innovative reconstruction error subspace focused mathematical model for anomaly detection utilising Variational AutoEncoders (VAEs).
Achieved and compared accuracies on CIFAR10 and MNIST datasets across various autoEncoder models, culminating in a publication in the IEEE-SSP journal.

Cnerg - complex networks research group, iit kharagpur

Undergraduate Researcher

Mar 2021 – Dec 2021 · 9 mos · Kharagpur, West Bengal, India · On-site

UG researcher under guidance of Dr. Pawan Goyal, CSE, IIT Kharagpur

Indian institute of technology, kharagpur

Undergraduate Research Assistant

Dec 2020 – Feb 2021 · 2 mos

-Center of Excellence in Artificial Intelligence

Effat university

Research Intern

Jun 2020 – Aug 2020 · 2 mos · Jeddah, Makkah, Saudi Arabia

Automated diagnosis, processing and categorizing of 5 different Sleep-stages based on continuous data from 11 EEG and EMG based sensors.
Used feature extraction DWT/WPD with sliding window technique on raw EEG data to convert to trainable data and checked accuracy between models.
Acceptance of paper Automatic detection of abnormal EEG signals using wavelet feature extraction in Bio medical signal processing and control

International relations cell, iit kharagpur

web team member

Aug 2019 – Aug 2020 · 1 yr · IIT Kharagpur

Developed and revitalised the Foreign Training Portal(FTP 2.0) to ease the process of outbound research internships opportunities.
Maintained the official website of International Relations, IIT Kharagpur and guided the junior web team members about the work.