Quality Assurance Engineer - QA & API Testing

AKASH SINGH

+91-752******* ****************@*****.*** Kanpur, Uttar Pradesh LinkedIn GitHub LeetCode PROFESSIONAL SUMMARY

Final-year B.Tech CSE (Data Science) student with hands-on experience in data quality assurance, annotation review, and defect identification at scale. Strong grounding in SDLC/STLC, OOPs, SQL, and REST API development, with practical exposure to test case design, root-cause analysis, and guideline-driven validation. LeetCode Knight with 650+ problems solved. Seeking an Assistant Quality Engineer role at Capgemini to apply analytical rigour and attention to detail to deliver defect-free software. TECHNICAL SKILLS

• Quality Engineering: SDLC, STLC, Manual Testing, Test Case Design, Test Scenario Writing, Functional & Regression Testing, Defect Lifecycle & Root-Cause Analysis, Black-Box Testing, Agile / Scrum

• API & Database Testing: REST API Testing (Postman), Request/Response Validation, Status-Code & Payload Verification, SQL Queries for Back-End Data Validation (Joins, Aggregations, Constraints)

• Languages: Java (OOPs), Python, SQL, JavaScript (Node.js), C++, C

• Core CS: Object-Oriented Programming, Data Structures & Algorithms, DBMS, Operating Systems

• Databases: MySQL, SQLite, MongoDB – queries, indexing, schema design

• Tools: Git, GitHub (branching, pull requests, code review), Postman, MS Excel

• Currently Building On: Selenium WebDriver, TestNG, Spring Boot, Automation Testing Fundamentals WORK EXPERIENCE

Snorkel AI – Data Annotation Contributor Mar 2026 – May 2026 Remote Contract / Freelance Contributor

• Annotated and labelled large-scale text and code datasets used for training and evaluating large language models, working strictly to detailed project specifications and acceptance criteria

• Performed quality review of peer-submitted annotations, identifying mislabels, guideline deviations and inconsistent edge-case handling, and logging them with clear justification

• Maintained a consistently high accuracy score across review cycles by cross-verifying outputs against guidelines before submission

– a first-time-right approach aligned to defect prevention

• Documented ambiguous and edge-case scenarios for project leads, contributing to refinement of annotation guidelines and reduction of downstream rework across concurrent projects PROJECTS

Smart AgroTech – AI-Based Farming Management System Ongoing

• Built REST APIs in Python (Flask) for weather integration, crop planning, and fertilizer recommendations; validated all endpoints in Postman across positive, negative, and boundary cases before frontend integration

• Designed a normalized MySQL schema and wrote SQL queries to verify data integrity, referential constraints and transaction correctness after each API operation

• Implemented JWT authentication and parameterized queries; tested for SQL injection, unauthorized access and expired-token handling

Movie Review Sentiment Analysis Dec 2024 – Jun 2025

• Built an NLP pipeline (Logistic Regression, Naive Bayes) for binary sentiment classification, reaching ~88% accuracy via TF-IDF vectorization and hyperparameter tuning

• Evaluated quality using precision, recall, F1-score and confusion-matrix analysis; manually reviewed misclassified samples to identify systematic failure patterns

NexaGestura – Gesture-Based System Controller Nov 2024 – May 2025

• Developed a real-time gesture recognition system (OpenCV, MediaPipe) for hand-landmark detection to control volume and brightness; tested reliability across lighting conditions and hand positions, tuning thresholds to reduce false positives CERTIFICATIONS & ACHIEVEMENTS

• LeetCode Knight – earned the Knight badge on LeetCode with 650+ DSA problems solved across LeetCode, GeeksforGeeks and HackerRank; 5-Star in Problem Solving on HackerRank

• Object-Oriented Programming (OOPs) in Java – Coursera (Classes, Inheritance, Polymorphism, Encapsulation, Abstraction)

• Machine Learning Specialization (Supervised Learning; Unsupervised Learning, Recommenders & Reinforcement Learning) – Stanford University / Coursera

EDUCATION

B.Tech – Computer Science & Engineering (Data Science) 2022 – 2026 Pranveer Singh Institute of Technology, Kanpur CGPA: 8.01 / 10 Mahavir Inter College – Intermediate (12th) & High School (10th) 2020 – 2022 Class XII: 82% (2022) Class X: 89.8% (2020)

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