Disha Chakraborty

Software Engineer

Kolkata, West Bengal, India2 yrs 4 mos experience

AI ML PractitionerHighly Stable

Key Highlights

Developed AI-driven applications with real-time user interaction.
Contributed to open-source ML projects on GitHub.
Guided peers in cloud computing through workshops.

Stackforce AI infers this person is a Full Stack Developer with a focus on AI/ML in Healthcare and Fintech.

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Skills

Core Skills

Full Stack DevelopmentMachine LearningArtificial IntelligenceCloud Computing

Other Skills

PythonStreamlitFlaskPyTorchGoogle APIsGemini APIGoogle Cloud Platform (GCP)TensorFlowNatural Language Processing (NLP)Core MLScript ReadingPerformance MetricsSingingSongwritingImage Processing

About

I’m a Computer Science undergraduate specializing in Artificial Intelligence and Machine Learning, passionate about building meaningful software solutions. I’ve developed and deployed full-stack and AI-driven applications, including: A brain tumor detection system using PyTorch + Flask A healthcare chatbot powered by Google Gemini API + Streamlit A DeFi wallet credit scoring model analyzing 100K+ transactions I'm comfortable working across both frontend and backend, and I've used tools like MongoDB, Git, Google Cloud Platform, and Kubernetes. I'm actively looking for software engineering internships or SDE roles where I can apply my skills in Python, full-stack web development, and ML. Let’s connect — I'm open to collaborations, referrals, and new opportunities!

Experience

2 yrs 4 mos

Total Experience

2 yrs 4 mos

Average Tenure

2 yrs 4 mos

Current Experience

Self-initiated projects

Software Developer (Personal Projects)

May 2025 – Present · 1 yr · India · Remote

>Worked on multiple end-to-end AI/ML and full stack projects using Python, Streamlit, Flask, PyTorch, and Google APIs.
>Built intelligent web apps that integrate large language models (LLMs), deep learning, and real-time user interaction
>Focused on healthcare, education, and automation domains
>Followed clean architecture, Git-based version control, and deployed user-friendly interfaces
✅ Projects:
Brain Tumor Detector (PyTorch + Flask): CNN model with 90% accuracy to classify brain MRI scans; Flask UI for real-time prediction
Gemini Healthcare Chatbot (Streamlit + Gemini API): AI assistant for symptom-based healthcare guidance using LLM prompt chaining
Gemini Code Generator (LLM + Streamlit): Converts natural language prompts to code across multiple languages using Gemini 1.5 Pro
Aave V2 Wallet Credit Scoring (ML + CLI): Regression-based credit score prediction using DeFi transaction data

PythonStreamlitFlaskPyTorchGoogle APIsFull Stack Development+1

Google

Google Cloud Facilitator Program – Student Leader

Apr 2025 – Aug 2025 · 4 mos · India · Remote

>Selected as a Google Cloud Facilitator through the Google Cloud Career Readiness program
>Completed hands-on labs in cloud computing, Kubernetes, IAM, Compute Engine, and BigQuery
>Guided peers in understanding and applying GCP services through workshops and mentoring
>Earned GCP skill badges and managed GCP resources via Qwiklabs

Google Cloud Platform (GCP)Cloud Computing

Github

Contributor

Jan 2024 – Present · 2 yrs 4 mos

Actively contributed to open-source and personal ML repositories by developing features, fixing issues, and improving documentation. Maintained multiple public AI/ML projects with external contributions through pull requests and issue tracking. Reviewed and merged community contributions, ensuring code quality and functional correctness. Collaborated asynchronously with contributors using GitHub workflows, version control, and code reviews.