AI Engineer with 1+ years in Generative AI & Intelligent Automation
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Computer Science graduate with experience in developing AI-powered applications, Generative AI solutions, and intelligent automation systems using Python, FastAPI, LangChain, and Large Language Models (LLMs). Hands-on experience building AI agents, Retrieval-Augmented Generation (RAG) applications, NLP solutions, workflow automation systems, and full-stack AI platforms. Skilled in machine learning, data analysis, information retrieval, feature engineering, model evaluation, and business process automation. Experienced in integrating AI-driven workflows, RPA solutions, and scalable software systems to improve operational efficiency and decision-making. Passionate about leveraging Generative AI, data science, and intelligent automation to solve real-world business challenges.
Savitribai Phule Pune University
BSc Computer Science · Computer Science
August 1, 2021 – June 30, 2024
GlobalStep
Test engineer
January 29, 2026 – Present
India
Maxnet Technologies LLC
Developer Trainee
March 10, 2025 – January 20, 2026
India
Machine Learning Sales Prediction System
June 24, 2026 – Present
Developed a predictive analytics solution using Linear Regression to estimate sales outcomes from advertising expenditure. Performed data preprocessing, exploratory data analysis (EDA), feature engineering, and model evaluation. Built an end-to-end machine learning pipeline using Python and Scikit-learn. Developed an interactive Streamlit application for real-time sales prediction and visualization. Conducted performance analysis using regression metrics and model validation techniques.
AI-Powered Multilingual Review Analysis System
June 24, 2026 – Present
Developed an NLP-driven multilingual sentiment analysis system using LLaMA 3.1 and TextBlob. Applied text mining and sentiment classification techniques to analyze customer feedback across multiple languages. Generated context-aware responses using Generative AI and prompt engineering techniques.
MedAI: Health RAG Assistant
June 24, 2026 – Present
Developed a Retrieval-Augmented Generation (RAG) healthcare assistant providing evidence-based responses using LLMs. Implemented semantic search and information retrieval using HuggingFace embeddings, pgvector, and Supabase. Designed scalable AI workflows integrating FastAPI, vector databases, and Generative AI models. Built real-time conversational AI capabilities using Llama 3 and Server-Sent Events (SSE).
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest and initiative in cutting-edge AI technologies, aligning well with an innovative and research-driven culture. The diversity of projects (sales prediction, multilingual sentiment analysis, healthcare RAG assistant) shows a broad application interest within AI. The 'Developer Trainee' experience, focusing on AI agents and automation, directly aligns with the target role of an AI Engineer. The candidate's background suggests a proactive learner eager to apply AI to solve real-world problems. However, the current role as a 'Test Engineer' is a deviation from the AI path, which might indicate a temporary shift or a need for more focused AI experience.
Soft Skills & Operational Fit
The candidate's resume indicates a structured approach to project development and problem-solving. The 'Developer Trainee' role at Maxnet Technologies LLC suggests an ability to work on complex AI agent development and monitoring platforms, implying good operational fit for roles requiring end-to-end AI solution development. The 'Test Engineer' role, while not directly AI-related, shows attention to detail and quality assurance, which are valuable in any engineering discipline. However, without specific psychometric test results, a comprehensive assessment of logical reasoning, work attitude, stress handling, and team collaboration is not possible.