
Full Stack Engineer with less than a year in MERN Stack & AI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly motivated and results-oriented Full Stack Web Developer with a strong foundation in MERN stack, AI, and core computer science concepts. Possessing 2 months of hands-on experience in developing e-commerce platforms and designing REST APIs, I am adept at optimizing performance and user experience. My project work includes an OS Simulator, AI-driven recommendation systems, and real-time facial recognition, demonstrating a passion for building innovative and impactful solutions.
Vellore Institute of Technology
B.Tech · Computer Science and Engineering
August 1, 2022 – June 30, 2026
SATYAMEV IAS ACADEMY
Full Stack Web Developer & UI/UX Designer Intern
May 1, 2024 – June 1, 2024
Delhi, Delhi, India
OS Simulator
December 1, 2025 – December 1, 2025
Orchestrated a browser-based OS simulator by compiling C++ kernels to WebAssembly, enabling near-native execution of CPU scheduling, memory allocation, and disk scheduling algorithms. Implemented and visualized 15+ OS algorithms (SRTF, Priority, Best/Worst Fit, SCAN, C-SCAN) with real-time Gantt charts to analyze process execution, resource utilization, and scheduling behavior.
View ProjectNiti-Nirman
January 1, 2025 – January 1, 2025
Architected a transformer-driven recommendation pipeline using BERT embeddings to model user intent and eligibility constraints, enabling accurate scheme ranking and achieving 85% precision on real-world policy datasets. Directed end-to-end development of an automated citizen onboarding workflow, integrating OCR-based Aadhaar document extraction and verification with a Gemini-powered multilingual conversational interface, enabling real-time access across 7 regional languages and reducing manual processing latency by 65%.
View ProjectCognito
December 1, 2023 – December 1, 2023
Engineered a real-time facial recognition pipeline using deep learning-based feature embeddings with OpenCV for face detection and alignment, achieving 98% identity matching accuracy under varied lighting and pose conditions. Optimized inference and matching workflows to support sub-second recognition in multi-user environments, and integrated an automated attendance logging system that reduced manual record-keeping overhead by 80%.
View ProjectFractal Data Science Professional Certificate
Unknown
January 1, 2026 – Present
Generative AI Leader
Google Cloud Training
December 1, 2025 – Present
GenAI using IBM Watsonx
IBM
April 1, 2025 – Present
Full Stack Developer (MERN)
SmartBridge
April 1, 2025 – Present
Postman API Fundamentals Student Expert
Postman
September 1, 2024 – Present
HTML, CSS, JavaScript for Web Developers
Coursera
December 1, 2023 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from OS simulation to AI/ML and full-stack development, indicates a broad interest in technology and a willingness to explore different domains. This adaptability and continuous learning mindset align well with dynamic, innovation-driven cultures. Participation in competitive challenges (AWS-Zelestra, International Quant Championship) suggests a drive for excellence and a competitive spirit. The focus on impactful projects like Niti-Nirman (citizen onboarding) also hints at a desire to contribute to meaningful solutions.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills and a proactive approach to learning new technologies, as seen in diverse personal projects and certifications. The ability to work on complex, multi-faceted projects suggests good operational fit for roles requiring independent initiative. However, the limited professional experience (one internship) means practical team collaboration and large-scale project management skills are yet to be fully validated.