AI Engineer with less than a year in Machine Learning & LLMs
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Assessing your cultural and operational fit
AI/ML Engineer and Data Analyst specializing in Large Language Models (LLMs), RAG pipelines, and applied machine learning. Delivered multi-agent healthcare AI systems and automated transcription workflows. Adept at leveraging Python, LangChain, and vector databases to translate complex data into actionable insights and scalable solutions.
D. Y. Patil International University
Master of Computer Applications (MCA) · AI & ML
August 1, 2024 – June 30, 2026
Dr. S.C. Gulhane Prerna College
Bachelor of Computer Applications (BCA) · Core Programming, Software Engineering
August 1, 2022 – June 30, 2024
App Studio
UI / ML Developer Intern
May 1, 2025 – August 1, 2025
Nagpur, Maharashtra, India
AI Medical Triage & Scheduling Assistant
June 22, 2026 – Present
Engineered a multi-agent healthcare AI system leveraging LangChain, RAG architecture, and Vector DBs. Integrated Model Context Protocol (MCP) to automate symptom triage.
NLP Voice Clipboard
June 22, 2026 – Present
Developed a real-time speech-to-text automation utility utilizing OpenAI Whisper. Streamlined transcription workflows by capturing system audio and seamlessly converting it to clipboard text.
Advanced Portfolio Website Generator
June 22, 2026 – Present
Built an interactive desktop application using Python to instantly generate customizable portfolio websites with automated deployment processes and predefined templates.
Spam Mail Detector
June 22, 2026 – Present
Implemented an NLP-based spam classification model utilizing TF-IDF vectorization and Scikit-learn. Achieved high accuracy in filtering unsolicited emails through rigorous data preprocessing.
AWS Certified Cloud Practitioner
AWS
June 1, 2026 – Present
Claude 101
Anthropic
June 1, 2026 – Present
Generative AI with LangChain & Hugging Face
Unknown
June 1, 2026 – Present
Research Methodologies
Coursera / QMUL
June 1, 2026 – Present
Data Analytics Job Simulation
Deloitte
June 1, 2025 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a strong interest in AI/ML applications, particularly in healthcare and NLP, which aligns well with an AI Engineer role. The diversity of projects (multi-agent systems, speech-to-text, spam detection) shows a broad application of AI concepts. However, the experience is limited to an internship, and the education is ongoing, which might indicate a need for more structured professional experience in a team setting. The certifications show a commitment to continuous learning and staying current with industry trends, which is a positive cultural indicator.
Soft Skills & Operational Fit
The candidate's experience description mentions collaboration in Agile sprints and contributing to code reviews, suggesting an ability to work in team environments. Maintaining deployment documentation indicates attention to operational details. However, without direct assessment data, further evaluation of soft skills like logical reasoning, work attitude, stress handling, and team collaboration is not possible.