Abhishek G. — Senior Software Engineer

I’m Abhishek Gupta, a Software Engineer specializing in backend development with Java, Spring Boot, and Apache Kafka. I’m passionate about building real-time, event-driven systems that power large-scale, high-availability applications. I love solving complex engineering problems, from designing distributed architectures to optimizing database queries that run across millions of rows. My approach combines precision with creativity: clean architecture, thoughtful abstractions, and systems that don’t just work, but scale gracefully. I thrive in environments where reliability, speed, and clarity of design matter. I enjoy collaborating across teams, transforming business requirements into production-grade backend solutions, and making systems observable, maintainable, and resilient. Outside of work, I’m constantly learning, exploring cloud-native design, microservices patterns, and scalable system architecture. Whether it’s experimenting with new Java features or refining CI/CD automation, I aim to grow a little sharper every day. Backend Engineer | Java | Spring Boot | Apache Kafka | REST APIs | Microservices | Event-driven Architecture | PostgreSQL | MySQL | Jenkins | OpenShift | CI/CD | Datadog | ELK Stack | AWS | Distributed Systems | System Design | API Development | Cloud-native | Scalable Systems | High Availability | Fault-tolerant | Backend Performance Optimization | Real-time Data Processing | Software Engineering | Java Developer | Spring Framework | Kafka Consumer | Kafka Producer | Messaging Systems

Stackforce AI infers this person is a Backend Engineer specializing in Fintech and Manufacturing industries.

Location: Pune, Maharashtra, India

Experience: 2 yrs 4 mos

Skills

Java Development
Software Design
Java
Spring Boot
Kafka
Api Development
Ci/cd
Back-end Web Development
Monitoring
Machine Learning
Image Processing
Python
Data Science

Career Highlights

Expert in building scalable backend systems with Java.
Proven track record in optimizing performance and reliability.
Strong experience in real-time data processing and event-driven architecture.

Work Experience

Capgemini

Senior Software Engineer (4 mos)

Software Engineer (1 yr 11 mos)

MandelBulb Technologies

Associate Data Scientist (5 mos)

The Techie Indians

Artificial Intelligence Intern (4 mos)

The Sparks Foundation

Data Science & Business Analytics Intern (2 mos)

TwoWaits

Intern (1 mo)

StartupTalky

Content Writer (1 mo)

Janprahar

Content writing Intern (1 mo)

Education

Bachelor of Technology - BTech at Amity University Kolkata

at M.C.Kejriwal Vidyapeeth

Abhishek G.

Senior Software Engineer

Pune, Maharashtra, India2 yrs 4 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Expert in building scalable backend systems with Java.
Proven track record in optimizing performance and reliability.
Strong experience in real-time data processing and event-driven architecture.

Stackforce AI infers this person is a Backend Engineer specializing in Fintech and Manufacturing industries.

Contact

Skills

Core Skills

Java DevelopmentSoftware DesignJavaSpring BootKafkaApi DevelopmentCi/cdBack-end Web DevelopmentMonitoringMachine LearningImage ProcessingPythonData Science

Other Skills

EngineeringSoftware InfrastructureGitHubSpring FrameworkSpring MVCSQLThymeleafRepresentational State Transfer (REST)Software ConstructionPostgreSQLJenkinsOpenShiftReactKibanaDatadog

About

Experience

2 yrs 4 mos

Total Experience

1 yr 2 mos

Average Tenure

1 yr 11 mos

Current Experience

Capgemini

2 roles

Senior Software Engineer

Jan 2026 – Present · 4 mos · Pune, Maharashtra, India · On-site

Java DevelopmentEngineeringSoftware DesignSoftware Infrastructure

Software Engineer

Jun 2024 – Present · 1 yr 11 mos · Pune, Maharashtra, India · On-site

Designed a Kafka-based tracking system for USPS barcode data, enabling real-time updates across 10K+ transactions/day.
Built Spring Boot microservices with event-driven ingestion, PostgreSQL storage, and automated state transitions.
Resolved 100+ daily e-wallet failures by implementing UTF-8 sanitizer and upgrading schema, improving reliability by 95%.
Migrated a Finacle-based eligibility engine (Java 17→21), optimizing payloads and improving API throughput by 40%.
Implemented dynamic rule toggles in Spring Boot to support runtime A/B testing, cutting iteration time by 60%.
Automated CI/CD on Jenkins + OpenShift, achieving zero-downtime blue-green deployments and improving release speed.
Maintained React-based Debit Card Tracker, improving error handling and ensuring 99.9% session continuity during outages.
Monitored and debugged production logs using Kibana and Datadog, proactively identifying and resolving system issues.

JavaSpring BootGitHubSpring FrameworkAPI DevelopmentSpring MVC+9

Mandelbulb technologies

Associate Data Scientist

Nov 2023 – Apr 2024 · 5 mos · Jaipur, Rajasthan, India · On-site

Developed YOLOv8-based object detection pipelines for real-time conveyor belt monitoring, improving detection accuracy by 50%.
Optimized model inference to achieve <500ms latency across 10K+ frames/day.
Built a Python-based frame analysis and stitching system, generating synchronized, annotated video outputs for analytics teams.
Integrated pipelines with Azure Data Factory and SQL-based storage for scalable processing and reporting.

Image ProcessingMachine LearningAnalytical SkillsTechnique TestingPython (Programming Language)Model Development+3

The techie indians

Artificial Intelligence Intern

Jul 2022 – Nov 2022 · 4 mos · Kolkata · Remote

◦Implemented a face recognition-based attendance system reducing processing time by 50%.
◦Employed technologies, including PyTesseract, OpenCV, and the Face Recognition library to achieve this efficiency improvement of 50%, time taken by system reduced from 10 seconds to 5 seconds.
◦Engineered and built an efficient Number Plate Detection System with a remarkable 90% accuracy rate, capturing and detecting new number plates with high precision by using OCR and OpenCV technologies, system reacted accurately 90 out of 100 times when given new data.

Interpersonal SkillsPyTesseractData ScienceAnalytical SkillsPython (Programming Language)Model Development+4

The sparks foundation

Data Science & Business Analytics Intern

Apr 2022 – Jun 2022 · 2 mos · India · Remote

◦Crafted a Decision Tree Classifier, attaining a 71% accuracy rate enhancing effective decision- making and operational efficiency.
◦Illustrated the decision tree for valuable insights, improving non-programmer readability by 40%.
◦Enhanced data exploration by collaborating with the department head to master Exploratory Data Analysis (EDA) techniques, leading to a 15% increase in data processing efficiency during the analysis of Netflix Data.

Interpersonal SkillsAnalytical Skills