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AI Engineer with less than a year in Machine Learning & Generative AI
AI Engineer skilled in Python, Machine Learning, and Generative AI, with a background in Computer Engineering. Hands-on experience building end-to-end AI systems involving Computer Vision, NLP, LLM pipelines, and full-stack AI product development. Focused on delivering scalable, production-ready AI solutions for real-world problems. Strong in problem-solving, debugging, and writing clean, maintainable code. Collaborative team player, eager to learn and contribute in a fast-paced AI-driven environment.
Smt. Indira Gandhi College of Engineering
Bachelor of Computer Engineering · Computer Engineering
August 1, 2021 – June 30, 2026
Shree S.K. Somaiya College of Science
Higher Secondary Certificate (PCMB) · Science
June 1, 2019 – May 31, 2021
FlyRank AI
AI Engineering Intern
June 1, 2026 – Present
India
A One Salasar Pvt Ltd
Operations Executive
June 1, 2024 – August 1, 2024
Thane, Maharashtra, India
AI Sales Intelligence Agent
May 1, 2026 – May 1, 2026
Architected full-stack AI platform with 10+ secure REST API endpoints for lead management, email generation, and outreach logging. Built 3 AI modules (Lead Research, Prospect Scoring, Personalized Outreach) using Groq LLM and Serper API for real-time analysis. Integrated pgvector + Supabase vector memory enabling context-aware AI across a 5-stage CRM pipeline. Delivered SaaS-style analytics dashboard with real-time lead insights across 3 core sales automation modules.
View ProjectSkin Care & Skin Disease Identification with Smart Recommendation
April 1, 2026 – April 1, 2026
Built EfficientNet-B3 + ResNet18 ensemble in PyTorch; achieved 85% accuracy across 10 skin disease classes. Engineered RAG-based AI chatbot using FAISS vector store and Gemini API for context-aware skincare recommendations. Developed skin tone classifier integrated with a recommendation engine covering 20+ skincare products. Preprocessed and augmented 5,000+ dermatology images; reduced model inference response time by 30%.
View ProjectAI Infrastructure & Operations Fundamentals
NVIDIA (Coursera)
June 1, 2026 – Present
SQL
HackerRank
June 1, 2026 – Present
Artificial Intelligence
Infosys Springboard
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from healthcare AI to sales intelligence, indicates a broad interest in applying AI across different domains. Their academic background in Computer Engineering and continuous learning through certifications (NVIDIA, Infosys Springboard) suggest a growth mindset. The current internship aligns well with the target role of an AI Engineer, demonstrating a clear career path and commitment to the field. The collaborative nature mentioned in the summary also points to a good cultural fit for team-oriented environments.
Soft Skills & Operational Fit
The candidate demonstrates a proactive approach to learning and applying AI technologies, as evidenced by their project work and certifications. Their summary highlights problem-solving, debugging, and collaborative team player attributes, which are crucial for operational fit. The academic projects show an ability to deliver end-to-end AI solutions, suggesting good operational capabilities.