Nitin Kishanlal Gupta
AI EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI Engineer with less than a year in AI/ML & Python Development
AI/ML Developer Intern with hands-on experience in building and integrating AI/ML systems into production applications. Proficient in FastAPI for backend services, Pandas and Scikit-learn for data processing, and REST API design for real-time data display. Developed a Music Recommendation System using collaborative filtering and content-based algorithms. Eager to contribute to innovative projects leveraging strong skills in Python, Computer Vision, LLM Integration, and cloud deployment with Docker.
Shree L. R. Tiwari College of Engineering
Bachelor of Engineering · Information Technology
August 1, 2023 – June 30, 2027
P. D. Turakhia College of Commerce and Science
Higher Secondary Certificate (HSC) · Science (PCMB)
N/A – Present
Ocavior Technologies
AI/ML Developer Intern
June 1, 2025 – July 1, 2025
Jaipur, Rajasthan, India
Compozent Solutions
Junior AI Trainee Intern
December 1, 2024 – January 1, 2025
India
PulseScan AI
June 24, 2026 – Present
Architected FastAPI services for contactless vital-sign extraction from facial videos using remote photoplethysmography (rPPG), with modular pipelines for face detection, signal extraction, and vital-sign computation. Designed end-to-end video ingestion and processing orchestration handling frame extraction, ROI detection, and physiological signal isolation; generated structured health reports (HR, SpO2, RR, BP) with signal-quality metrics. Optimized processing workflows for low-latency inference and scalable deployment; won Rs. 1,00,000 at PitchRight 2.0 State Level competition before venture capitalists at Taj President, Mumbai.
Government Soil Health Card Scraper (SLUSI)
June 24, 2026 – Present
Reverse-engineered the Government of India Soil Health Card portal, identifying and directly consuming GraphQL, REST, and OGC WMS data sources - no Selenium or browser automation required. Built intelligent grid-based geographic scanning to overcome API feature limits and extract complete nutrient datasets across all Indian states, with dynamic state/district/cycle discovery and zero hardcoded mappings. Implemented deduplication logic and official nutrient classification thresholds for clean, analysis-ready CSV export; pipeline operates fully autonomously across all states without manual intervention.
View ProjectAI Medical Prescription OCR Analyzer
June 24, 2026 – Present
Developed a FastAPI service for medical prescription analysis using GPT-40 Vision through OpenRouter, converting handwritten prescriptions into validated structured JSON with strict schema enforcement. Built image-to-data pipelines performing intelligent medicine extraction, dosage parsing, diagnosis identification, follow-up detection, and automated cost estimation in a single API call. Engineered null-safe output handling, image encoding orchestration, and error recovery logic for production-grade reliability across varied and edge-case prescription formats.
View ProjectCultural Fit Analysis
The candidate's project diversity, ranging from vital-sign extraction to soil health data scraping and medical OCR, indicates a broad interest and adaptability, which is positive for cultural fit. Their involvement in competitive events suggests a proactive and driven personality. The target role of 'AI Engineer' aligns well with their demonstrated skills and project focus. However, the experience level is very junior (internships only), which might require significant mentorship in a senior-level team.
Soft Skills & Operational Fit
The candidate demonstrates strong initiative and problem-solving abilities through their personal projects and competition wins. Their experience in developing end-to-end solutions suggests good operational fit for roles requiring full ownership. The descriptions indicate an ability to work autonomously and deliver production-grade reliability. However, the provided data does not offer direct insights into teamwork, stress handling, or direct communication skills in a collaborative setting.