I am a B.Tech Computer Science student with a passion for building AI-driven solutions and scalable backend systems. I thrive at the intersection of Machine Learning and Web Development.

I have strong proficiency in:

• Java, Python, SQL
• React, Node.js, Flask, FastAPI
• Pandas, NumPy, Matplotlib
• Cloud (Azure, GCP), Git, VS Code

I enjoy designing clean system architectures, writing maintainable code, and continuously improving application performance, scalability, and usability.

• Languages: Java, Python, SQL, JavaScript, HTML, CSS
• Frameworks: React, Node.js, Flask, FastAPI, WordPress
• Libraries: Pandas, NumPy, Matplotlib
• Tools: Git, VS Code, IntelliJ, PyCharm
• Cloud: Microsoft Azure, Google Cloud, Vercel, Heroku

Project 1: Sentra AI Risk Intelligence Engine (MS RiskTec)

• Role: Software Development Engineer Intern
• Duration: Jun 2025 – Dec 2025
• Domain: Fintech | Risk Management | AI Analytics

Key Contributions

• Designed and implemented heatmaps and interactive dashboards to visualize risk patterns and customer behavior.
• Contributed to the Linda project by ensuring natural, accurate, and context-aware AI responses using LLM-based workflows.
• Developed machine learning models and segment correlation analysis for fraud detection and banking analytics.
• Played a key role in developing a Bank Analytics Dashboard with segment-level analysis, integrating risk and performance scoring logic.

Tech Stack

• Backend/AI: Python, Flask, FastAPI, LLM Workflows
• Data: Pandas, NumPy, Matplotlib
• Cloud/Tools: Microsoft Azure, Google Cloud, Git

Impact

• Provided real-time insights and early warning systems for proactive risk detection.
• Enabled data-driven decision-making through high-fidelity visualization of customer segmentation.

Project 2: Backend & CI/CD Systems (Code Grills)

• Role: Backend Development Intern
• Duration: Apr 2025 – Jun 2025
• Domain: Backend Infrastructure

Key Contributions

• Designed scalable backend systems using Flask & MongoDB.
• Built CI/CD pipelines and automated testing workflows to ensure code reliability.

Tech Stack

• Backend: Python, Flask
• Database: MongoDB
• DevOps: Git, CI/CD Pipelines

Impact

• Improved development efficiency through automated deployment cycles.
• Enhanced system scalability for backend services.

AI-Powered Job Authenticity Checker

• Domain: NLP | Cybersecurity | Machine Learning
• Key Contributions: Developed an NLP-based classification system to detect fake job postings and analyze keyword authenticity patterns.
• Impact: Generates authenticity scores and job insights to protect seekers from recruitment fraud.
• Link: Job Authenticity Checker

AI-Powered Interview Prep Website

• Domain: EdTech
• Key Contributions: Built a platform using Next.js + OpenAI for coding prep, behavioral training, and AI-driven resume review.
• Impact: Offers interactive problem-solving and personalized feedback for career growth.
• Link: Interview Prep App

B.P. Poddar Institute of Management and Technology, Kolkata, India

• B.Tech in Computer Science & Engineering
• CGPA: 9.00

St. Augustine's Day School, Barrackpore, Kolkata, India

• ISC (Class XII)
• Score: 90.75%

⭐ From Meghali Dutta
Made with ❤️, curiosity, and endless debugging 🔍