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AI Engineer with 1+ years in AI/ML & Python development
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Entry-level AI practitioner with hands-on project experience in Python and AI-based applications. Familiar with building data pipelines, experimenting with models, and developing intelligent systems using modern tools. Seeking an opportunity to apply foundational AI knowledge, analytical thinking, and a strong learning mindset in an AI-driven team.
Mukesh Patel School of Technology, Management & Engineering, NMIMS
M. Tech. · Artificial Intelligence
August 1, 2024 – June 30, 2026
K.J. Somaiya Institute of Technology, Mumbai University
B. Tech. · Computer Engineering
August 1, 2019 – June 30, 2023
DIEBOLD NIXDORF
Gen AI Intern
February 1, 2026 – Present
India
SEQURETEK IT SOLUTIONS
Associate Consultant
July 1, 2023 – September 1, 2024
India
AI MATH MENTOR
January 1, 2025 – January 1, 2025
Built a multimodal AI tutor to solve math problems from text, images (OCR), and audio (ASR) using LLMs. Designed a multi-agent reasoning pipeline with RAG-based solving, verifier-driven correctness checks, and human-in-the-loop escalation. Implemented a persistent memory layer to capture solutions, feedback, and correction patterns for self-learning.
View ProjectAI-POWERED STOCK RESEARCH APP
January 1, 2025 – January 1, 2025
Developed a financial research tool to fetch stock data, compare multiple tickers, and generate structured insights. Built modular data extraction workflows integrating API calls, LLM-based reasoning, and automated reporting. Designed interactive visualizations and added PDF export functionality for easy interpretation of results. Implemented multi-agent logic for handling news summarization, fundamentals lookup, and price analysis.
View ProjectEND-TO-END RETAIL FORECASTING AND INVENTORY OPTIMIZATION SYSTEM
January 1, 2025 – January 1, 2025
Built a simulated end-to-end data pipeline to ingest, store, and process retail sales data. Implemented ETL workflows including data cleaning, transformation, feature creation, and loading into PostgreSQL. Developed forecasting models to predict future demand and inventory requirements. Built a Streamlit dashboard to visualize sales patterns, stock levels, and predictions.
View ProjectCultural Fit Analysis
The candidate's academic projects showcase a diverse range of applications for AI, from education (AI Math Mentor) to finance (AI-Powered Stock Research App) and retail (Retail Forecasting and Inventory Optimization System). This breadth of interest and application, combined with an ongoing Master's in AI, suggests a strong passion for the field and a continuous learning mindset. The current Gen AI Intern role aligns well with the target AI Engineer position, indicating a clear career trajectory and commitment to AI. The candidate's skills span various aspects of AI development, from modeling to data engineering and deployment, which is a good fit for a dynamic AI team.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to design and implement complex systems, suggesting strong problem-solving and analytical skills. The internship at Diebold Nixdorf demonstrates an ability to work in a professional environment and contribute to a real-world AI platform. The previous role as an Associate Consultant at Sequaretek IT Solutions, while not directly AI-related, shows experience with system monitoring and automation, which can be beneficial for operational aspects of AI systems. However, direct evidence of collaboration, stress handling, or team dynamics is not explicitly provided in the resume.