Saurabh Sharma.
B.Tech (IT) undergraduate with a strong foundation in Python, SQL, PHP, Machine Learning, and Generative AI workflows. Experience spans back-end feature development, structured data handling, predictive modeling, and AI-powered applications. Adept at translating requirements and wireframes into clean, testable code while collaborating across product and engineering contexts.
Work Experience
Associate Software Engineer Intern
Fi Ellements Pvt. Ltd.
Engineered back-end features in PHP and SQL, improving structured data handling and database operations for product workflows while strengthening logic-driven feature delivery. Optimized query-based data processing and validation routines, reducing manual intervention and improving reliability across core application transactions. Translated requirements into maintainable code by collaborating on feature design, debugging, and iterative testing to support end-to-end product development. Contributed to responsive web application foundations by aligning back-end changes with front-end integration needs and clean API-ready data structures.
Skills
Projects
Breast Cancer Prediction using ML Models
Built and evaluated classification models with Decision Tree, Random Forest, and SVM, achieving 96% accuracy through preprocessing, feature scaling, and structured model validation. Improved prediction reliability by comparing model performance metrics and tuning parameters across multiple experiments, demonstrating disciplined analytical problem solving.
Symptom Classification Bot using LLM
Built an AI workflow with LangGraph and Google Gemini API, orchestrating multi-step reasoning for reliable symptom classification and prompt-driven decision support. Applied prompt engineering to improve output consistency and reduce ambiguity, strengthening the workflow for production-style GenAI applications.
Sales Forecasting using ARIMA Model
Applied statistical time-series analysis with ARIMA to forecast sales trends, reinforcing model selection, evaluation, and business-oriented interpretation of results.
Blinkit Sales Data Analysis
Performed exploratory data analysis with Python libraries, generating actionable insights through visualization and data cleaning for decision-making support. Summarized sales patterns and trends from structured datasets, strengthening reporting quality and analytical storytelling for stakeholders.
Education
B.Tech
Dr. Akhilesh Das Gupta Institute of Technology & Management
CGPA: 7.8/10; coursework and projects emphasize scalable problem solving, data analysis, and software development fundamentals relevant to back-end and front-end product delivery.