Kingsuk Biswas

Software Engineer

Bengaluru, Karnataka, India1 yr 11 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in building scalable payment microservices.
Reduced ticket volume and boosted resolution speed significantly.
Proven ability to streamline infrastructure and reduce latency.

Stackforce AI infers this person is a Fintech Backend Engineer with expertise in scalable payment systems and automation.

Contact

Skills

Core Skills

AiLarge Language Models (llm)Object Oriented DesignSoftware DevelopmentProblem Solving

Other Skills

React.jsDjango REST FrameworkJavaScriptAmazon CloudWatchJenkinsSoftware DesignSoftware InfrastructureDatabase DesignMySQLOAuthSSL CertificatesAWS Identity and Access Management (AWS IAM)Continuous Integration and Continuous Delivery (CI/CD)Amazon SQSAmazon Dynamodb

About

Highly accomplished Engineer with a focus on building scalable payment microservices and integrating GenAI solutions to drive operational efficiency at Amazon. Experienced in end-to-end development, from upgrading core payment systems to leveraging AWS Bedrock for root cause analysis and ticket automation. Proven ability to reduce system latency, lower high-severity incidents, and streamline infrastructure with expertise in Java, Spring Boot, and cloud technologies (AWS, Docker, PostgreSQL)

Experience

1 yr 11 mos

Total Experience

1 yr 8 mos

Average Tenure

3 mos

Current Experience

Qualcomm

Software Engineer

Feb 2026 – Present · 3 mos · Bengaluru, Karnataka, India · On-site

React.jsDjango REST Framework

Amazon

2 roles

Application Engineer 3

Aug 2025 – Jan 2026 · 5 mos · Bengaluru, Karnataka, India

GenAI Integration: Led the integration of AWS Bedrock-based GenAI models into the disbursement ticketing platform to analyze failed transactions, diagnose root causes, and reroute tickets.
Impact: Reduced ticket volume by 1% and boosted resolution speed by 50%.
Automation: Developed MCP servers using GenAI to automate ticket generation and summarize failed disbursements, cutting manual intervention by 40%.

AILarge Language Models (LLM)

Application Engineer 2

Apr 2024 – Jul 2025 · 1 yr 3 mos · Bengaluru, Karnataka, India

Core Upgrade: Upgraded payment microservices from JDK 8 to JDK 17 and optimized CI/CD pipelines.
Impact: Achieved 10% lower API latency and smoother production deployments.
Reliability & Monitoring: Streamlined monitoring infrastructure by eliminating redundancy, reducing high-severity disbursement incidents by 4% annually. Improved transaction routing reliability in Java, cutting support tickets by 10%.

Object Oriented DesignSoftware Development

Scrut automation

2 roles

Product Support Engineer

Feb 2024 – Apr 2024 · 2 mos · Remote

Engineered a feature to automate the bulk creation of risks based on predefined
templates, enhancing compliance management and slashing manual intervention
by 80%.

JavaScriptProblem Solving

Product Support Engineer Intern

Nov 2023 – Feb 2024 · 3 mos · Remote

Optimized Node.js APIs, halving response time, and improving customer satisfaction.
Developed an program to automated data report generation, removing manual efforts and strengthening auditing efficiency.

JavaScriptProblem Solving

Amazon

Support Engineer II Intern

Jan 2023 – Jun 2023 · 5 mos · Bengaluru, Karnataka, India · Hybrid

Developed an automation solution to streamline monitors creation for tracking
failures and infrastructure-related changes, reducing manual intervention by
70% during new stores onboarding in JWO Tech.
Collaborated with cross-functional teams to effectively troubleshoot and debug errors in the deployment of services.

Problem SolvingAmazon CloudWatch