AI Engineer with 1+ years in Python, Data Engineering & AWS
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Software Engineer with strong foundations in Python, Data Engineering, and Cloud (AWS), complemented by hands-on experience in building scalable AI-powered applications. Experienced in developing production-ready systems using Flask, Streamlit, and REST APIs, with a deep understanding of how data flows through real-world systems. Built multiple end-to-end projects involving data pipelines, analytics, and deployment. Passionate about solving real engineering problems and continuously learning modern system design..
MCKV INSTITUTE OF ENGINEERING
B.Tech · Computer Science and Engineering (AI and ML)
August 1, 2022 – June 30, 2026
Ardent Computech Pvt. Ltd.
Technical Project Intern
January 1, 2026 – Present
Kolkata, West Bengal, India
Edunet Foundation / AICTE (VOIS for Tech Program)
Conversational Data Analytics Intern
September 1, 2025 – October 1, 2025
India
IEMA Research & Development Pvt. Ltd. - IEMLabs
AWS Cloud Practitioner Intern
July 1, 2025 – October 1, 2025
India
Hive Tech
Artificial Intelligence / Machine Learning Intern
January 1, 2025 – August 1, 2025
India
Edunet Foundation
Artificial Intelligence / Machine Learning Intern
December 1, 2024 – February 1, 2025
India
Netflix Content Type Predictor (Data Analysis & ML)
January 1, 2025 – December 1, 2025
Developed and trained a Logistic Regression model on 7,789 titles, achieving perfect scores (95% + Accuracy, Precision, Recall, and F1-score) in binary classification of content type (Movie/TV Show). Engineered a feature set of 53 binary and numerical variables, including Number of Cast and release date components, to maximize predictive power. Conducted EDA demonstrating high class imbalance (Movies: 5,379 vs. TV Shows: 2,410) and quantified key trends: average movie duration of 99.31 minutes and top content contributors (United States: 3,297, India: 990).
View ProjectAirbnb Listing Price Analysis & EDA
January 1, 2025 – December 1, 2025
Conducted comprehensive EDA on a large-scale dataset of 102,599 Airbnb listings across 26 features. Applied data cleaning and preparation techniques to handle missing values, providing data-driven insights into host performance and neighborhood demand.
View ProjectDeep Research Assistant (RAG Architecture)
January 1, 2025 – December 1, 2025
Engineered a robust, production-ready Agentic RAG (Retrieval-Augmented Generation) system using LangChain and the Gemini API for deep, context-aware analysis of large-scale, multi-document PDF sets. Implemented persistent conversation history and optimized the pipeline architecture to handle complex queries via an interactive Streamlit deployment interface.
View ProjectHiring Nexus - Neural Interface
January 1, 2025 – December 1, 2025
Developed an internal-facing recruitment web application (Flask) to streamline candidate filtering using the Gemini API for AI-powered insights and detailed summary generation. Optimized the customizable scoring system, demonstrating the ability to classify candidate relevance with 90%+ matching accuracy.
View ProjectAI Trading System
January 1, 2025 – December 1, 2025
Architected and implemented an AI trading system utilizing Time Series Analysis and a TensorFlow trend prediction model to generate real-time trade signals. Integrated a proprietary backtester for Continuous Training (CT) evaluation and established a Google Sheets logging system for transaction auditability, delivering instant trade alerts via the Telegram Bot API.
View ProjectAskademia
January 1, 2025 – December 1, 2025
Built an enterprise-style Generative AI agent for document analysis and secure Q&A. Implemented complex multi-modal processing (PyMuPDF, Pandas, NumPy) to accurately extract text, tables, and figures, and integrated with the ArXiv API to directly search, download, and analyze academic papers.
View ProjectAI-Powered Email Spam Classifier
January 1, 2025 – December 1, 2025
Developed a web application for high-accuracy email spam classification leveraging Gemini LLM. Mastered Prompt Engineering techniques to reliably extract structured, JSON-based output for downstream integration and deployed a real-time dashboard for enhanced user data tracking and export capabilities.
View ProjectIntelliDebug
January 1, 2025 – December 1, 2025
Developed and deployed a web-based Python debugger (Flask) that provides real-time, AI-powered error explanations and fix suggestions leveraging Google Gemini AI. Features include safe, sandboxed execution and immediate syntax validation, demonstrably reducing developer debugging time.
View ProjectFarmer-Friend (AI Assistant)
January 1, 2025 – December 1, 2025
Developed a context-aware Generative AI Assistant suite leveraging the Mistral API and NLP techniques. Engineered a scalable Flask/Streamlit application to deliver real-time recommendations (crops/fertilizers) based on user-provided soil and location data.
View ProjectPlant Disease Detection System using CNN
January 1, 2025 – December 1, 2025
Containerized and deployed a specialized CNN model (TensorFlow) via Streamlit to classify 38 plant disease classes, achieving 85%+ accuracy in real-time prediction environments, processing data scaled from 63,000+ images.
View ProjectInterviewGPT (AI Mock Interview)
January 1, 2025 – December 1, 2025
Built and deployed the InterviewGPT web application (Flask/HTML/CSS/JS) to dynamically generate role-based interview questions. Evaluated candidate answers using the Gemini LLM, demonstrating a scalable platform capable of assessing responses across diverse technical roles.
View ProjectIntroduction to Business Intelligence Certificate
Infosys Springboard
June 1, 2025 – Present
Introduction to Artificial Intelligence Certificate
Infosys Springboard
June 1, 2025 – Present
Introduction to Natural Language Processing Certificate
Infosys Springboard
June 1, 2025 – Present
Introduction to Data Science Certificate
Infosys Springboard
May 1, 2025 – Present
Getting Started with Artificial Intelligence Certificate
IBM
March 1, 2025 – Present
Cultural Fit Analysis
The candidate's diverse range of personal projects, covering various AI/ML applications from predictive models to generative AI agents and trading systems, showcases a broad interest and proactive learning approach. Their involvement in educational outreach and leadership roles further highlights a collaborative and growth-oriented mindset. The projects align very well with the target role of an AI Engineer, demonstrating a strong passion and practical application of AI/ML concepts. The breadth of skills across different AI/ML domains, cloud platforms, and data tools indicates adaptability and a willingness to explore new technologies.
Soft Skills & Operational Fit
The candidate demonstrates strong initiative and leadership through hackathon wins and team leadership roles. Their active YouTube channel for AI/ML content creation indicates a passion for learning and sharing knowledge, which aligns well with a collaborative and innovative work environment. The project descriptions are clear and detailed, suggesting good communication skills in a technical context. The focus on building production-ready systems and optimizing pipelines indicates an understanding of operational excellence.