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Software Engineer with less than a year in Python, Java, and Machine Learning.
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Assessing your cultural and operational fit
Computer Science and Engineering student with expertise in Python, Java and Machine Learning. Focused on AI/ML with hands-on project experience, skilled in algorithm development, predictive modeling, and problem-solving, dedicated to applying AI techniques to real-world challenges.
Alliance University
Batchelor Of Technology · Computer Science and Engineering
August 1, 2022 – June 30, 2026
MH Cognition
Software Developer Intern (Onsite)
December 1, 2025 – June 1, 2026
India
Flying School Management System
January 1, 2026 – January 1, 2026
Developed backend services and REST APIs for a Flying School Management System to manage student and document workflows. Implemented OCR-based processing for passports, visas, and medical documents, along with automated certificate generation using AWS Lambda. Worked on SQL queries, backend logic, and API integrations to improve application performance and reliability. Collaborated with frontend, QA, and DevOps teams for feature delivery, bug fixing, production support, and frontend integration with basic Angular knowledge.
Book-Based Q&A System with Hybrid RAG
April 1, 2025 – April 1, 2025
Developed an AI-powered Book-Based Q&A System that leverages Hybrid Retrieval-Augmented Generation (Hybrid RAG) to answer structured questions from PDF book content. Implemented BM25 for sparse retrieval and FAISS for dense retrieval, enhancing information retrieval from large text chunks of the uploaded book. Integrated T5-Base model with advanced prompt engineering for precise answers based on question types (e.g., definition, explanation, summarization, steps). Designed an interactive Gradio web app for users to upload PDF books and ask specific, context-based questions with real-time responses.
AI-Based Wildfire Prediction Using Satellite and Climate Data
March 1, 2025 – March 1, 2025
Preprocessed wildfire data by encoding classes, scaling features with RobustScaler, and selecting top features using XGBoost. Built a Temporal Transformer neural network to capture complex patterns and improve fire classification accuracy. Implemented training optimizations including dropout, gradient clipping, early stopping, and batch handling. Evaluated model using accuracy metrics and explained feature impacts with SHAP visualizations for transparency. Achieved over 93+% accuracy and deployed an interactive CLI tool for real-time fire risk prediction based on user inputs.
Azure AI Fundamentals
Microsoft
June 1, 2025 – Present
Multi AI Agent Systems with CrewAI
Deep Learning.AI
March 1, 2025 – Present
Generative AI with Large Language Models
Coursera
February 1, 2025 – Present
Corporate Mentorship Program
IBM
November 1, 2024 – April 1, 2025
Cultural Fit Analysis
The candidate's project diversity, spanning both professional backend development and advanced AI/ML academic projects, indicates a broad interest in technology and a proactive learning attitude. The certifications in AI/ML further support a commitment to continuous learning and staying current with industry trends. The internship experience, though limited, shows an ability to work in a team and contribute to a real-world application. However, the experience level is very low (0 years), which might require significant mentorship and ramp-up time in a senior role.
Soft Skills & Operational Fit
The candidate demonstrates good collaboration skills through project work and internship experience, working with cross-functional teams (frontend, QA, DevOps). The description of presenting dashboards and participating in core product meetings suggests an ability to contribute to product strategy and communicate technical insights. The academic projects show initiative and problem-solving capabilities, which are positive indicators for operational fit.