Akshat Jaiswal

Software Engineer

Bengaluru, Karnataka, India8 yrs 6 mos experience

Key Highlights

Expert in developing scalable fraud detection systems.
Led migration to Temporal, improving system reliability.
Proficient in AWS and microservices architecture.

Stackforce AI infers this person is a Fintech Backend Engineer with expertise in fraud detection systems and microservices.

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Skills

Core Skills

AwsMicroservicesDatabase ManagementData ProcessingWorkflow ManagementJavaApi IntegrationCi/cdBackend DevelopmentApi DevelopmentComputer Vision

Other Skills

Amazon Web Services (AWS)REST APIsGitDatabase Management System (DBMS)Object-Oriented Programming (OOP)Low-Level DesignMongoDBApache KafkaDistributed SystemsSumo LogicSpring BootContinuous Integration and Continuous Delivery (CI/CD)High-Level DesignKafkaAWS Lambda

About

As a Software Engineer at Kotak Mahindra Bank since October 2024, I contribute to developing scalable fraud detection systems, focusing on the Fraud Risk Management (FRM) platform. My work includes designing a centralized fraud intelligence database and implementing a robust data ingestion pipeline using Kafka, AWS Lambda, and Amazon S3. I also led the migration of workflows to Temporal, enhancing system reliability by reducing workflow failures and boosting fault tolerance. With a B.Tech degree in Electrical, Electronic, and Communications Engineering from Amrita Vishwa Vidyapeetham, I have cultivated technical expertise in microservices, CI/CD, and Git. My prior experience at PayU and Tata Consultancy Services includes API integration, process automation, and backend development. I aim to leverage my skills to develop impactful and scalable solutions in the technology space.

Experience

8 yrs 6 mos

Total Experience

2 yrs 3 mos

Average Tenure

1 yr 8 mos

Current Experience

Kotak mahindra bank

Software Engineer

Oct 2024 – Present · 1 yr 8 mos · Bengaluru, Karnataka, India · Hybrid

Currently working on the Fraud Risk Management (FRM) platform that aggregates transactional, historical, and behavioral data to apply complex rules and machine learning models for real-time fraud detection and risk assessment.
Led the design and development of a centralized fraud intelligence database for real-time credibility checks, reducing fraud mule accounts by 6%.
Designed and implemented a scalable data ingestion pipeline using Kafka, AWS Lambda, and Amazon S3, processing 1M+ new records monthly with low latency.
Migrated long-running workflows from Zeebe to Temporal using Java and Spring Boot, improving fault tolerance and reducing workflow failure rates by 60%.
Built multi-channel notifications (SMS, WhatsApp, Email) for account freeze events using Temporal, improving delivery rate by 2X.
Integrated with the Digital Intelligence Platform (DIP) to automate telecom-linked risk signal processing, enabling real-time fraud mitigation.
Created production pipelines and a dashboard to monitor payment system availability and reliability.
Developed a connector microservice from scratch and contributed to both low-level and high-level system architecture.
Conducted code reviews and ensured adherence to best practices and coding standards.
Applied SOLID principles and implemented relevant design patterns for scalable, maintainable code.
Wrote comprehensive JUnit test cases to ensure strong test coverage and reliability.

Amazon Web Services (AWS)REST APIsGitDatabase Management System (DBMS)Object-Oriented Programming (OOP)Low-Level Design+10

Payu

Software Engineer

Jul 2022 – Sep 2024 · 2 yrs 2 mos · Banglore

Spearheaded the integration of 20+ REST APIs for SwitchPay, reducing payment processing latency by 210ms.
Designed and implemented a CI/CD pipeline with build automation and Docker deployment, enhancing release cycles.
Developed a microservice for bug tracking, achieving ₹45 Lakhs annual cost savings and reducing manual intervention.
Delivered 3DS 2.0 protocol support for key merchants including Amazon, in compliance with updated RBI guidelines. Enabled a seamless transition to enhanced security standards without requiring changes from merchant systems.

REST APIsGitDatabase Management System (DBMS)Object-Oriented Programming (OOP)Low-Level DesignDistributed Systems+6

Tata consultancy services

Software Engineer

Sep 2020 – Jul 2022 · 1 yr 10 mos · Mumbai, Maharashtra, India

Working on a POC to deploy static contents on Openshift
environment
Created a login API using JWT token from MySql database and
rendered OAuth 2.0 token to access of other APIs in Spring boot.
Used Docker to dockerize the app and deploy it onto openshift
environment
Worked with Couchbase cache service to store data
Worked with the DevOps team to write OPA Rego policies and test
those policies in the CI/CD environment

GitObject-Oriented Programming (OOP)Distributed SystemsSpring BootJavaBackend Development

Airprobe

Deep Learning and Computer Vision Intern

Feb 2020 – Jun 2020 · 4 mos · Bangalore

Created an entire data pipeline to mitigate Climate Change by applying Computer Vision, Machine Learning, and Deep Learning to Drone and Satellite Imagery.
Technology used:
python,pandas,detectron2,opencv.

Bennett university

Intern

Dec 2018 – Jan 2019 · 1 mo · India

Bennett University we were offed a summer internship of 4 weeks under the initiative of LeadingIndia.Ai. where we developed an interface for Technical Solutions for Visually Impaired People using YOLO and Pytesseract API.

Nvidia

Nvidia Seminar

Dec 2018 – Dec 2018 · 0 mo · Noida Area, India

Two-day extensive workshop with hands-on and theoretical understanding of deep-learning by leveraging NVIDIA native technologies for selected interns under LeadingIndia.ai program and professors across the country.

Discrete mathematics club

Student Mentor

Jan 2017 – Nov 2019 · 2 yrs 10 mos · kerala

Programming and mathematics club at Amrita School of Engineering, Amritapuri. It is to encourage keen students in discrete mathematics and improve their programming skills.