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AI Engineer with 1+ years in Machine Learning & Full Stack Development
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I am an AI/ML Engineer and Full Stack Developer specializing in Machine Learning, NLP, Generative AI, and intelligent web applications. Experienced in building end-to-end AI solutions, enterprise analytics platforms, healthcare systems, and SaaS products using Python, FastAPI, React, and Next.js. Passionate about transforming complex data into actionable insights through scalable architectures, AI-driven automation, and user-centric product development
Guru Gobind Singh Indraprastha University
Bachelor of Technology · AI & ML
August 1, 2023 – Present
Dev Samaj Modern School
Senior Secondary
June 1, 2022 – May 31, 2023
ANTI AI
AI/ML & Full Stack Developer Intern
March 1, 2026 – May 1, 2026
India
NYX TECHNOLOGIES
AI Development Consultant - Freelance
March 1, 2026 – May 1, 2026
India
ALERIX
AI/ML & Full Stack Developer Intern
February 1, 2026 – Present
India
INFOSYS SPRINGBOARD
Python Intern
September 1, 2025 – January 1, 2026
India
UniWell: Campus Health Sanctuary
June 1, 2026 – Present
Built a full-stack healthcare management platform with secure role-based portals for students, medical staff, and administrators. Implemented AI-powered healthcare assistance, emergency SOS broadcasting, appointment scheduling, and digital medical records workflows. Designed scalable authentication and secure backend architecture using Supabase with RBAC-based access control.
Splitr: Full Stack AI Powered Expense Splitting WebApp
June 1, 2026 – Present
Built a full-stack expense-sharing platform with real-time balance tracking, group expense management, and settlement workflows. Implemented secure authentication and protected user routes using Clerk with reactive backend architecture powered by Convex. Automated payment reminders and AI-generated spending insights using Inngest, Resend, and Google Gemini integrations.
JobGuard AI: AI Powered Fake Job Detection Platform
June 1, 2026 – Present
Developed an ML-powered platform to detect fraudulent job postings using NLP-based text classification and confidence scoring. Built Flask-based prediction pipelines with TF-IDF vectorization, SQLite logging, and real-time job analysis workflows. Designed admin analytics dashboards with interactive charts, retraining activity logs, and prediction history tracking.
Python Foundation Certification
Infosys Springboard
June 1, 2026 – Present
Prompt Design in Vertex AI – Google Cloud Skills Boost
Google Cloud Skills Boost
June 1, 2026 – Present
Software Engineering Job Simulation
J.P. Morgan Chase
June 1, 2026 – Present
Engineer Data for Predictive Modeling with BigQuery ML
Google Cloud Skills Boost
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including healthcare, expense management, and job fraud detection, shows a broad interest and ability to apply AI/ML in various domains. The experience across multiple internships and freelance roles, combined with a strong academic background in AI & ML, indicates a driven individual who is keen on continuous learning and practical application. This aligns well with a dynamic, innovation-focused environment.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through project work (e.g., fraudulent job detection, healthcare platform). The diverse project portfolio and internship experiences suggest adaptability and a proactive learning attitude. The focus on user-centric product development and performance optimization indicates an understanding of operational best practices.