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AI Engineer with less than a year in AI-integrated Platforms & Distributed Systems
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Analytical Software Engineer and SIH 2025 Finalist with a strong foundation in Data Structures, Algorithms, and Object-Oriented Design. Experienced in building scalable distributed systems (Scrubbie) and AI-integrated platforms (Saaransh) using C++, Python, and Full-Stack technologies. Keenly interested in contributing to innovative research and organizational growth through technical excellence and a results driven mindset.
Rajiv Gandhi Institute of Petroleum Technology (INI)
B.Tech · Mathematics and Computing
August 1, 2023 – May 1, 2027
Board of Secondary Education
Intermediate (Class XII)
March 1, 2020 – April 1, 2022
Edunet Foundation
AI Intern
May 1, 2025 – June 1, 2025
India
McKinsey & Company
Step Forward Program Participant
April 1, 2025 – June 1, 2025
India
Saaransh (E-Consultation Platform)
June 5, 2026 – Present
Developed a full-stack AI public consultation platform enabling section-wise targeting and Hinglish support, delivering real-time sentiment analytics that reduced manual policy analysis time by 80%. Engineered a custom ensemble sentiment classifier aggregating fine-tuned XLM-ROBERTa, RoBERTa, and DistilBERT, achieving 72% accuracy and surpassing baseline research by 7%. Integrated BART-based hierarchical summarization to process 100+ comments in under 5 seconds, implementing advanced NLP pipelines for automated Hinglish translation and security validation.
View ProjectScrubbie (Multiplayer Drawing Game)
June 5, 2026 – Present
Built a real-time multiplayer drawing game on Render supporting 100+ concurrent users, featuring turn-based mechanics and voting that drove a 60% increase in user engagement. Implemented event-driven WebSocket architecture via Socket.IO to establish bidirectional communication, achieving sub-100ms canvas synchronization and instant chat delivery. Applied Object-Oriented Design (OOD) principles to manage complex game states and lobby systems, ensuring modularity and code reusability.
DSA Using JAVA
Infosys
March 1, 2026 – Present
Oracle Analytics Cloud 2025 Professional
Oracle
October 1, 2025 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, including an AI public consultation platform and a multiplayer drawing game, indicates a broad interest in applying technical skills to different domains. Their involvement in leadership roles (GFG Club, SIH Team Lead) and a program focused on analytical and collaborative skill development (McKinsey) suggests a proactive and team-oriented mindset. The blend of academic rigor (B.Tech in Mathematics and Computing) with practical application in AI internships and personal projects aligns well with a culture that values both theoretical understanding and hands-on execution. The candidate's early career stage (experience level 0) means they are likely adaptable and eager to learn, which can be a strong cultural fit for dynamic environments.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership and collaboration skills through their role as Editorial Head at GFG Club and participation in the McKinsey Step Forward Program. Their project descriptions highlight structured problem-solving and cross-team communication. The ability to manage complex game states and lobby systems in Scrubbie also indicates good operational fit for managing intricate project requirements. However, without specific psychometric test results, a deeper assessment of stress handling and team collaboration is limited.