Standing Rank
Rank Not Available
Developer Badges
Badges Pending
Skills & Technologies
31 skillsWork Experience
Full Stack Developer
Reeroute
- Developed and maintained 2+ full-stack web applications usingNode.js, Express.js, React.js, JavaScript, HTML, and CSS with scalable and modular architecture.
- Built and integrated 10+ RESTful APIs and CRUD modules for efficient data processing and seamless frontend–backend communication.
- Implemented JWT Authentication and role-based access mechanisms to secure API endpoints and manage user authorization.
- Worked with PostgreSQL and Sequelize ORM for schema design, database operations, query optimiza- tion, and structured data management.
- Debugged, tested, and optimized backend services using Git/GitHub and API testing workflows, improving application performance and reliability.
Assistant Professor (Technical Trainer – AI/ML)
CMR Institute of Technology (CMRIT)
- Delivered technical training sessions on Artificial Intelligence, Machine Learning, Python, and basic Deep Learning concepts for undergraduate engineering students.
- Guided students in implementing hands-on projects using Python, Scikit-learn, TensorFlow, and data preprocessing techniques.
- Mentored students on Machine Learning workflows, model evaluation, feature engineering, and practical AI application development.
- Prepared technical content, coding exercises, and practical demonstrations to improve students’ understand- ing of AI/ML concepts and implementation.
Backend Developer
NxtWave Disruptive Technologies
- Contributed to building backend data workflows using Python and Flask , supporting structured data ingestion, validation, and transformation processes.
- Worked with MongoDB and MySQL to develop and optimize CRUD operations, applying indexing and query tuning to improve data retrieval efficiency.
- Assisted in implementing data validation and centralized error-handling mechanisms to ensure data consis- tency and reliable processing.
- Integrated secure API-based data access using JWT authentication and role-based access control (RBAC) to support controlled data exposure.
- Participated in Git-based version control , collaborating with team for testing, debugging, and deployment.
Projects
Multilingual Question Answering System
- Developed a full-stack multilingual question answering system using Flask, React.js, TensorFlow, and PyTorch with scalable frontend–backend integration.
- Implemented semantic retrieval and answer prediction pipelines using XLM-RoBERTa, Deep Siamese Networks, BiLSTM, and LightGBM for multilingual query processing.
- Built RESTful APIs for real-time multilingual inference, text preprocessing, semantic similarity, and dynamic response generation using Python and Flask.
- Worked with multilingual datasets including SQuAD, TyDi QA, and Bengali QA , achieving 99%+ accuracy on Bengali QA tasks.
- Evaluated model performance using Precision, Recall, and F1-score for continuous validation and opti- mization of AI workflows.
- Deployed transformer-based AI models and multilingual inference pipelines on Hugging Face for scalable prediction and testing.
AI-Ready Data Ingestion & Processing Platform
- Developed a full-stack data ingestion and processing platform using Node.js, React.js, MongoDB, and AWS S3 for scalable dataset management.
- Built RESTful APIs for CSV/Excel upload, schema validation, metadata generation, and backend data processing workflows.
- Implemented data preprocessing and transformation pipelines for AI/ML-ready structured datasets and analytics workflows.
- Designed a responsive React.js dashboard for real-time monitoring of ingestion status, validation results, and dataset previews.
- Integrated cloud-based object storage using AWS S3 and deployed the application using Vercel and Render.
- Optimized API performance and modular backend architecture for efficient handling of large-scale datasets and scalable system integration.
Leaderboard Standings
Leaderboard Position Pending
Global test scores, peer standing percentiles, and algorithm leaderboard ranks are updated dynamically.
Assessment Highlights
Assessments Not Completed
Coding evaluations, system assessment results, and conceptual score badges will appear here after taking a test.
AI Collaboration Score
AI Collaboration Score Pending
Developer coding behavior, assistant cooperation, and AI pair-programming indicators are evaluated during live coding sessions.
Role Compatibility Profile
Role Compatibility Analysis Pending
Custom matching reports, candidate role compatibility percentiles, and core engineer strength profiles are processed once conceptual code screenings are complete.
Achievements
Teaching Assistant
Conducted theory and lab sessions in Python and DSA at NIT Jaipur as a Teaching Assistant.
GATE Ranker
Two-times GATE Ranker (2021 & 2023)
About Details
Professional Bio
Full Stack Developer and AI/ML enthusiast with expertise in Python, React.js, and scalable backend systems. Experienced in building multilingual QA systems, data ingestion platforms, and delivering technical training in AI/ML.
M.Tech in Computer Science
NIT Jaipur (2023 - 2025)
B.Tech in Computer Science
Techno Engineering College Banipur (2016 - 2020)