AI Engineer with 1+ years in AI/ML & Backend Systems with expertise in Python, JavaScript, and API t
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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.
IIIT NAYA RAIPUR
B.TECH IN COMPUTER SCIENCE · Computer Science
November 1, 2022 – Present
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
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.
Paper awarded Best Paper at IEEE ICPC2T 2025
IEEE ICPC2T
January 1, 2025 – Present
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.