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AI Engineer with less than a year in MERN, AI/ML, and Cloud Deployment
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AI Full Stack & Software Developer with hands-on experience building production-ready solutions using the MERN stack and AI/ML frameworks. Proficient in TypeScript, RESTful API design, LLM integration (RAG, OpenAI, LangChain), and cloud deployment. Background spanning web development, machine learning, and cybersecurity with an ownership mindset, strong problem-solving instincts, and eagerness to ship impactful products. Currently AI and ML intern.
MIT Vishwaprayag University, Solapur
Master of Computer Applications (MCA)
August 1, 2024 – June 30, 2026
Sangameshwar College Autonomous, Solapur
Bachelor of Computer Applications (BCA)
August 1, 2021 – June 30, 2024
Sangameshwar College, Solapur
Higher Secondary Certificate (HSC)
June 1, 2019 – May 31, 2021
Agenixhub
Software Intern
January 1, 2026 – Present
India
Zapient Digital, Pune
React UI Developer Intern
September 1, 2024 – October 1, 2024
Pune, Maharashtra, India
Peacemaker's Community Social Networking Platform
June 1, 2026 – Present
Built a full-stack social platform serving 200+ active users with features including diary entries, real-time chat rooms, and user profiles. Designed NoSQL schemas in MongoDB for scalable data storage, optimized queries and caching for significant improvement in response time.
TrafLaw AI-Powered Legal Advisor for Traffic Violations (RAG/LLM System)
June 1, 2026 – Present
Built an end-to-end AI system providing legal guidance on traffic violations using Retrieval-Augmented Generation (RAG) and large language models. Implemented FastAPI endpoints for real-time query handling and frontend integration. Deployed on AWS EC2 with Docker, handling hundreds of queries at low latency.
CryptoViz Advanced Cryptography & Cybersecurity System
June 1, 2026 – Present
Built a multi-layer encryption and decryption system with AES-256, SHA-256 hashing, and custom cipher algorithms, applied ML anomaly detection for threat identification. Designed secure REST APIs with authentication protocols ensuring end-to-end security for sensitive data transfer.
Smart Attendance System with QR Code Authentication
June 1, 2026 – Present
Developed an automated attendance management system using QR code generation and passcode verification, processing 1,000+ daily authentication requests. Containerized the application with Docker; built real-time data pipelines enabling dashboards and reports for administrators.
Linux Unhached
Cisco
June 1, 2026 – Present
IBM Data Science
Coursera
January 1, 2025 – Present
Generative AI and LLMs: Architecture and Data Preparation
Coursera
January 1, 2024 – Present
Introduction to Cloud Computing
Coursera
January 1, 2024 – Present
Generative AI Engineering with LLMs Specialization
Coursera
January 1, 2024 – Present
Cultural Fit Analysis
The candidate demonstrates a strong cultural fit through diverse personal projects spanning AI, cybersecurity, attendance systems, and social networking. This breadth indicates curiosity and a willingness to tackle varied challenges. The current internship at Agenixhub, focusing on AI-powered features and automation, aligns well with the target role of an AI Engineer. The certifications in Generative AI and Cloud Computing also show a proactive learning attitude and alignment with modern tech stacks.
Soft Skills & Operational Fit
The candidate lists problem-solving, analytical thinking, communication, teamwork, ownership mindset, and Agile/Scrum as soft skills. These are highly relevant for an AI Engineer role, indicating a good operational fit for collaborative and dynamic development environments. The experience as a Software Intern at Agenixhub, involving end-to-end feature delivery and DevOps practices, further supports this.