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AI Engineer with less than a year in AI/ML, IoT, and Blockchain development.
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Assessing your cultural and operational fit
Highly motivated and skilled B.Tech student in Electrical Engineering (Major: Electric Vehicle Technology) with a CPI of 8.84/10.00. Proficient in Python, C/C++, JavaScript, and experienced with frameworks like Node.js, Flask, React, and Flutter. Proven ability to design and implement full-stack solutions, AI-powered systems, and IoT applications, as demonstrated through various impactful projects and awards. Seeking to leverage strong technical and soft skills in a challenging engineering role.
Rajiv Gandhi Institute of Petroleum Technology (RGIPT)
B.Tech · Electrical Engineering (Major: Electric Vehicle Technology)
August 1, 2024 – July 1, 2028
IEEE RGIPT SB
Joint Secretary
October 1, 2025 – Present
India
S&T Council RGIPT
Event Executive
February 1, 2025 – August 1, 2025
India
Sports Council RGIPT
Logistics Executive
February 1, 2025 – March 1, 2025
India
AI Quality Inspector
March 1, 2026 – April 1, 2026
Implemented a full-stack AI-powered defect detection system using YOLOv8 and FastAPI to identify 6 industrial defect classes from uploaded images and real time webcam feeds, achieving sub-1 second inference latency with bounding-box visualization and confidence scoring. Created an interactive frontend dashboard using HTML, CSS, and JavaScript with 4+ core modules including image upload, live camera detection, annotated prediction display, and real time inference updates, improving inspection usability and response speed. Integrated an analytics dashboard to track 3 key quality metrics — total detections, most frequent defect class, and average confidence — enabling 100% automated inspection reporting workflow simulation for production style quality monitoring.
View ProjectIndian Astronomical Instruments Calculator
September 1, 2025 – October 1, 2025
Shipped a full-stack astronomy dashboard with 5+ feature modules, including real-time sun/shadow simulation, 24-hour error analysis, guided learning, and ML-based shadow-angle prediction. Engineered 6 REST APIs, SQLite-backed logging, and a reproducible Random Forest + XGBoost pipeline, reducing model setup overhead by 70% through automatic pkl generation. Constructed immersive 3D instrument visualizations with live azimuth/altitude tracking, playback controls (×2/×5 speed), and responsive dark/light theming for seamless browser-to-backend demos.
View ProjectSmart Tourist Safety System
August 1, 2025 – September 1, 2025
Developed a smart safety platform for SIH 2025 integrating blockchain-based digital identity, AI-driven anomaly detection, and IoT wearables for real-time tourist monitoring. Designed a cross-platform Flutter mobile application with geo-fencing alerts, SOS functionality, and multilingual support to enhance user safety and accessibility. Built an ESP32-based smart band prototype with motion and health sensors, integrated via REST APIs with a React-based monitoring dashboard and blockchain identity verification
View ProjectCruciatus, AI math solver
February 1, 2025 – March 1, 2025
Crafted an AI-based math solver for KodeKurrent 2025 (PSX101) that processes handwritten equations and generates solutions in under 2 seconds per input. Evaluated the model on 200+ handwritten samples, achieving 99% character recognition accuracy. Optimized SQLite queries to store and retrieve the 10 most recent problem histories, reducing redundant storage by 40%.
View ProjectSelected for Presentation
WAMS
March 1, 2026 – Present
Wild Card Selection
IIT Bombay Techfest
December 1, 2025 – Present
Participated in Adobe India Hackathon
Adobe India
July 1, 2025 – Present
KodeKurrent 2025 Finalist
Unknown
March 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in applying AI/ML to diverse real-world problems, from tourist safety to industrial quality inspection and astronomy. This aligns well with an innovative and problem-solving culture. Participation in hackathons and being a finalist in KodeKurrent 2025 indicates a competitive spirit and a drive for continuous learning and application. However, the lack of professional experience and focus solely on academic projects might require mentorship to adapt to corporate cultural nuances.
Soft Skills & Operational Fit
The candidate's involvement in various council roles (IEEE, S&T, Sports Council) suggests strong soft skills in leadership, team management, and cross-functional collaboration. Project descriptions also highlight problem-solving and optimization efforts, indicating a proactive and results-oriented work attitude. However, these are academic/volunteer roles, and direct professional experience in these areas is limited.