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AI Engineer with 2+ years in Generative AI, RAG pipelines, and full-stack AI development.
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Assessing your cultural and operational fit
AI/ML Engineer with 3 years of production experience designing and deploying Generative AI solutions, RAG pipelines, LLM-powered applications, and full-stack AI products. Proven track record building end-to-end ML lifecycles on Azure OpenAI, with deep expertise in embeddings, semantic search, NLP, agentic AI (MCP Servers), and full-stack development. B.Tech, Manipal Institute of Technology.
Manipal Institute of Technology (MIT Manipal)
B.Tech · Computer Communication Engineering
August 1, 2019 – June 30, 2023
Adeption IO
AI/ML & Front-End Developer
January 1, 2024 – Present
Pune, Maharashtra, India
Yuj Designs
Front-End UI Designer (Intern)
June 1, 2022 – July 1, 2022
Pune, Maharashtra, India
Medical Image Classification - Deep Learning (Keras / TensorFlow)
January 1, 2023 – January 1, 2023
Built a clinical assistance CNN deep learning model using Keras and TensorFlow to accurately classify Maxillary Canine Impaction from dental X-ray images, delivering diagnostic insights to assist oral surgeons. Applied data augmentation and transfer learning techniques to handle limited labelled medical data.
Crime Prediction - Predictive ML Model
January 1, 2023 – January 1, 2023
Constructed a predictive ML model on open-source crime datasets, conducting exploratory data analysis (EDA) to identify spatial and temporal crime patterns. Applied classification and regression techniques to generate actionable crime-likelihood predictions, demonstrating end-to-end data wrangling and model evaluation skills.
Sentiment Analysis using NLP & BERT
January 1, 2023 – January 1, 2023
Developed a real-time sentiment analysis system using Google BERT and the gTTS API, with a custom speech-to-text pipeline feeding a Tkinter-based GUI. Applied transformer-based NLP to classify sentiment from live spoken input an early hands-on application of LLM-era embedding architectures.
Cultural Fit Analysis
The candidate's project diversity, ranging from medical image classification to crime prediction and sentiment analysis, indicates a broad interest and adaptability to different problem domains. Their current role as an AI/ML & Front-End Developer aligns very well with an AI Engineer target role, demonstrating a practical, full-stack approach to AI product development. The breadth of skills listed, including various ML frameworks, cloud platforms, and full-stack technologies, suggests a versatile and growth-oriented mindset, which is a good cultural fit for dynamic tech environments.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through their project work, particularly in applying advanced AI/ML techniques to real-world problems. Their experience in leading 10 AI initiatives suggests good project management and execution capabilities. The description of their work at Adeption IO indicates an ability to integrate AI solutions into existing enterprise workflows and collaborate across technical stacks. The intern experience also highlights user research and UI conceptualization skills, which are valuable for understanding user needs in AI product development.