AI Engineer with less than a year in Machine Learning & Workflow Automation.
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Result-oriented AI/ML Engineer with hands-on experience in machine learning, backend development, workflow automation, and intelligent application development. Skilled in Python, FastAPI, React, REST APIs, Generative AI, NLP, and automation workflows. Proven track record delivering measurable performance improvements in healthcare, education, and productivity systems.
Yenepoya Institute of Technology
B.E. · Artificial Intelligence & Machine Learning
August 1, 2022 – June 30, 2026
CoE-AI, NIT Calicut
AI Research Intern
February 1, 2026 – April 1, 2026
India
InternsForge
AI/ML Intern
August 1, 2025 – October 1, 2025
India
AI-Powered Virtual Nurse
January 1, 2025 – January 1, 2025
Built async FastAPI healthcare assistant supporting 150+ concurrent queries at <200ms latency with 94% satisfaction rate.
TalkEasy: AI Language Learning Platform
January 1, 2025 – January 1, 2025
Interactive platform with real-time pronunciation scoring for 500+ sessions; reduced transcription WER by 18%.
Lexy: AI Life Assistant (Google Gemini LLM)
January 1, 2025 – January 1, 2025
Autonomous FastAPI assistant orchestrating 12+ daily workflows with Human-in-the-Loop validation, saving 5+ hrs/week.
Runner-Up - ISTE Student Convention Hackathon
Unknown
January 1, 2025 – Present
Runner-Up - Agentic AI & Cloud Services Hackathon
Unknown
January 1, 2025 – Present
Python for Data Science & Machine Learning
IBM Cognitive Class
January 1, 2024 – Present
MongoDB Fundamentals
MongoDB Inc.
January 1, 2024 – Present
Git, Java & R Programming
IIT Bombay Spoken Tutorial Project / NPTEL
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's academic projects span healthcare, education, and productivity, showing a diverse interest in applying AI solutions to various domains. Their participation in hackathons and internships, even while still pursuing a bachelor's degree, indicates a proactive and engaged approach to learning and contributing. The focus on AI/ML and backend development aligns directly with the target role, suggesting a strong cultural fit for an AI-centric team.
Soft Skills & Operational Fit
The candidate demonstrates a results-oriented approach, evidenced by quantifiable achievements in projects and internships (e.g., 94% satisfaction rate, 15% increase in training efficiency, 2.5x throughput). Their involvement in hackathons suggests teamwork and problem-solving under pressure. The academic background in AI/ML aligns well with an AI Engineer role, indicating a strong theoretical foundation combined with practical application.