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Full Stack Engineer with less than a year in MERN stack, AI, and Machine Learning.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Engineering Student with hands-on experience in full-stack development, AI, and machine learning. Proficient in MERN stack, Python, and SQL. Developed several projects, including a smart agriculture platform and a fake product review detection system. Eager to apply technical skills in a dynamic software development environment.
Sanjivani College of Engineering
B. Tech · Computer Engineering
August 1, 2022 – June 30, 2026
Infosys Springboard
Full Stack Developer Trainee (Virtual Program)
August 1, 2025 – October 1, 2025
India
Fake Product Review Detection System
June 27, 2026 – Present
Built an AI-based system to detect fake product reviews using a Kaggle dataset of 40,000 reviews. Achieved 89% accuracy using TF-IDF features and classical machine learning models. Developed Flask-based REST APIs and a React frontend to visualize prediction results.
FarmAI - Smart Agriculture Platform
June 27, 2026 – Present
Developed a full-stack platform for crop disease detection, crop advisory, and farm planning. Trained an image classification model on 3,000+ crop images across 7+ crop types. Achieved approximately 82% accuracy and integrated predictions into a web dashboard.
TechPragyan Hackathon - Smart Accommodation Finder
September 1, 2025 – September 1, 2025
Developed a prototype for a Smart Accommodation Finder within a 12-hour competitive hackathon.
SheInspires Hackathon - Generative AI prototype
March 1, 2025 – March 1, 2025
Built a Generative AI prototype using AWS PartyRock during a 2-day national hackathon.
IEEE Research Paper Publication
IEEE Xplore
January 1, 2023 – Present
Cultural Fit Analysis
The candidate shows a strong inclination towards learning and applying new technologies, as evidenced by diverse projects (AI, full-stack, hackathons) and an IEEE publication. This aligns well with a culture that values innovation and continuous improvement. The academic and personal projects demonstrate initiative and problem-solving, which are positive indicators for cultural fit. However, the candidate's experience level is entry-level, which might require mentorship in a senior role.
Soft Skills & Operational Fit
The candidate's participation in hackathons and a virtual internship suggests a proactive attitude, ability to work under time constraints, and a willingness to learn new technologies. The NSS volunteer experience indicates community involvement and teamwork. However, with limited professional experience, the depth of operational fit and soft skills in a senior role is yet to be fully validated.