Sagnik Mazumdar

AI Engineer

AI Engineer with 1+ years in AI/ML & Backend Systems with expertise in Python, JavaScript, and API t

NATIONAL INSTITUTE OF TECHNOLOGY DURGAPUR

IIIT NAYA RAIPUR

India

Since April 30, 2026

About

Highly motivated and results-oriented professional with 1.1 years of experience as a Research and Backend Systems Intern. Proficient in AI/ML, Python, JavaScript, and comprehensive API testing. Demonstrated ability to develop deep learning systems, optimize inference for edge devices, validate REST APIs, and implement robust automation frameworks for data reconciliation and quality gates. Strong analytical and problem-solving skills, with a focus on delivering high-quality, efficient, and secure software solutions.

Top Skills

PythonJavaScriptCross Functional Collaboration

Skills

PythontypescriptJavaScriptRest ApisSQLPlaywrightGitPandasRoot Cause AnalysisCross Functional CollaborationAutomationProcess OptimizationDeep LearningPostgresqlData ValidationGithub Actions

Education

IIIT NAYA RAIPUR

B.TECH IN COMPUTER SCIENCE · Computer Science

November 1, 2022 – Present

Experience

NATIONAL INSTITUTE OF TECHNOLOGY DURGAPUR

RESEARCH INTERN

May 1, 2024 – Present

ADS WEB SOLUTIONS

BACKEND SYSTEMS INTERN

March 1, 2023 – May 1, 2023

Kolkata, West Bengal, India

Projects

CONTINUOUS "NAV OVERSIGHT" QUALITY GATE

November 1, 2023 – Present

Built a CI/CD quality gate using GitHub Actions to run automated regression tests on a NAV calculation service. Validated core financial business logic, including asset-liability computations and share-based NAV formulas. Triggered tests on every commit to detect regressions in fund administration logic. Applied LLM-based failure analysis to produce human-readable impact summaries from pipeline logs.

AI-POWERED "TRADE PAYLOAD" API FUZZER

September 1, 2023 – Present

Developed an LLM-driven automation tool to generate adversarial and edge-case payloads for financial APIs. Programmatically injected malformed trade data (e.g., invalid quantities, currencies, extreme values) to test robustness. Detected improper error handling and flagged stability or validation failures as defects. Integrated Jira REST API for automatic ticket creation with reproducible payloads and failure traces.

THE "DATA HARMONY" UI/API RECONCILIATION FRAMEWORK

June 1, 2023 – Present

Built a TypeScript/Playwright automation framework to validate reconciliation between multiple backend APIs and a frontend dashboard. Consumed mock CashBalances and Equities REST endpoints, parsed complex JSON, and computed expected AUM within the test layer. Automated UI verification to ensure displayed portfolio metrics exactly matched backend-derived calculations. Implemented strict data validation checks for schema integrity, data types, missing fields, and HTTP status correctness.

Certifications

Paper awarded Best Paper at IEEE ICPC2T 2025

IEEE ICPC2T

January 1, 2025 – Present

Key Strengths

Exceptional aptitude in Deep Learning and Machine Learning engineering, demonstrated by the award-winning HemaX project (99% accuracy, MobileNet optimization for edge devices, end-to-end ML pipeline leadership).
Strong practical experience with LLM-driven automation, including adversarial payload generation for financial APIs and intelligent failure analysis for CI/CD pipelines.
Proficiency in MLOps and CI/CD practices, evidenced by the 'NAV OVERSIGHT' Quality Gate using GitHub Actions and LLM-based log analysis.
Robust API and UI automation skills using TypeScript/Playwright for complex data reconciliation and validation in financial contexts.
Solid understanding of backend systems, including REST API validation, JWT authentication, and PostgreSQL optimization.
Proven ability to deliver high-impact projects, highlighted by the 'Best Paper' award at IEEE ICPC2T 2025.

Cultural & Operational Fit

Cultural Fit Analysis

Insufficient data. The psychometric test score is 0, preventing an objective assessment of logical reasoning, work attitude, stress handling, or team collaboration.

Soft Skills & Operational Fit

The candidate demonstrates strong collaboration skills through 'Cross Functional Collaboration' mentioned in projects and experience. Their leadership in the HemaX project ('Led the end-to-end ML pipeline') indicates initiative and project ownership. The ability to build complex frameworks and integrate various tools (Jira, GitHub Actions) points to strong operational execution and problem-solving. However, due to the 0 scores on English and Psychometric tests, a comprehensive assessment of communication clarity, work attitude, stress handling, or team collaboration is not possible.

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Evaluating your skill match against the job requirements…

Key Strengths

Exceptional aptitude in Deep Learning and Machine Learning engineering, demonstrated by the award-winning HemaX project (99% accuracy, MobileNet optimization for edge devices, end-to-end ML pipeline leadership).
Strong practical experience with LLM-driven automation, including adversarial payload generation for financial APIs and intelligent failure analysis for CI/CD pipelines.
Proficiency in MLOps and CI/CD practices, evidenced by the 'NAV OVERSIGHT' Quality Gate using GitHub Actions and LLM-based log analysis.
Robust API and UI automation skills using TypeScript/Playwright for complex data reconciliation and validation in financial contexts.
Solid understanding of backend systems, including REST API validation, JWT authentication, and PostgreSQL optimization.
Proven ability to deliver high-impact projects, highlighted by the 'Best Paper' award at IEEE ICPC2T 2025.

Cultural & Operational Fit

Cultural Fit Analysis

Insufficient data. The psychometric test score is 0, preventing an objective assessment of logical reasoning, work attitude, stress handling, or team collaboration.

Soft Skills & Operational Fit