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Full Stack Engineer with less than a year in Full-stack & AI/ML Development
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Computer Science Engineering graduate with strong skills in C++, JavaScript, Python, Data Structures & Algorithms, and full-stack development using React.js, Next.js, Node.js, Express.js, and MongoDB. Experienced in building secure REST APIs, cloud-based applications, and blockchain-powered solutions using JWT, RBAC, Docker, AWS, and IPFS. Contributed to a government-backed document automation system that reduced manual verification efforts by 60
Walchand College of Engineering, Sangli
B.Tech · Computer Science and Engineering
November 1, 2022 – May 1, 2026
Zilla Parishad, Sangli
Project Member – Blockchain Based Document Management System (Government Project)
August 1, 2025 – November 1, 2025
Sangli, Maharashtra, India
DocVerify - Smart Document Verification Using AI and Image Processing
June 5, 2026 – Present
Built an AI-powered forgery detection system using OpenCV image processing (CLAHE, Gaussian smoothing, edge detection) and CNN models (Xception, ResNet) with feature extraction (SIFT, ORB, HOG, LBP), achieving 99.31% detection accuracy. Integrated OCR-based metadata validation for text-level tampering detection and SHA-256 blockchain hashing for tamper-proof immutable audit trails. Developed a React.js dashboard with real-time tampering heatmaps and verification reports; achieved sub-60ms inference time for real-world institutional deployment.
View ProjectGramConnect - Digital Grampanchayat e-Governance Platform
June 5, 2026 – Present
Deployed a full-stack citizen services platform on AWS and Vercel with CI/CD pipeline, reducing paperwork by 70%; optimized MongoDB queries improving grievance tracking by 65%. Implemented JWT-secured REST APIs with RBAC and role-based admin dashboards for metric visualization and modular feature delivery.
View ProjectLEAP - AI/ML-Powered Legal Documentation Assistant
June 5, 2026 – Present
Integrated BERT and GPT NLP models into a Python pipeline for legal text generation, reducing FIR drafting time by 35%; backend secured with JWT and AES encryption. Developed a React.js monitoring dashboard for real-time observability of AI-generated document output and model performance.
View ProjectCultural Fit Analysis
The candidate's involvement in diverse projects (AI/ML, e-governance, blockchain) and competitive programming highlights a proactive and continuous learning mindset. Their leadership roles in student organizations and mentoring activities suggest a team-oriented and contributing personality. The breadth of technologies and problem domains tackled indicates adaptability and a willingness to explore new challenges, aligning well with dynamic team environments.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills, leadership through mentoring and club activities, and a collaborative approach as evidenced by working with government stakeholders. Their project-based experience suggests an ability to deliver production-ready solutions and manage project timelines. The focus on secure and scalable systems indicates an operational fit for roles requiring robust engineering practices.