Headline

Full Stack Gen AI Dev Intern @Neuralarc | Artificial Intelligence (AI)

Location

Pune Division

AI stack

antigravity

claude code

claude

hugging face

kiro

langchain

langfuse

langgraph

Tavily

Work experience

Full Stack Gen Ai Developer at Neural Arc Inc, Jun 2026 - Present · 2 mos, Pune City

Full Stack Engineer at Neural Arc, Jun 2026 - Present · 2 mos

Artificial Intelligence Intern at Gradence Global Ltd, Nov 2025 - May 2026 · 7 mos, Coventry, As an AI/ML Intern at Gradence Global, I work across machine learning, backend development, automation, and end-to-end system building—from data processing to deployment. ⸻ 🔹 AI & Machine Learning • Building and training ML models (Regression, Classification, NLP, LLM workflows) • Feature engineering, model evaluation, and optimization • Using PyTorch, Scikit-learn, Hugging Face Transformers • Creating inference pipelines and integrating models into backend APIs ⸻ 🔹 Data Engineering & Analysis • Data cleaning, preprocessing, and visualization • Using Pandas, NumPy, Matplotlib, Seaborn • Preparing structured & unstructured datasets for ML tasks ⸻ 🔹 Backend Development • Building REST APIs using FastAPI and Flask • Integrating ML models into production-ready API endpoints • Implementing routing, authentication, and database operations • Working with PostgreSQL and MongoDB ⸻ 🔹 Automation • Writing Python scripts to automate workflows • Web automation & scraping using Playwright and BeautifulSoup • Automating data extraction and monitoring tasks ⸻ 🔹 Azure Cloud & Deployment • Deploying ML models and backend APIs using Azure ML & Azure DevOps • Basic monitoring using Azure Monitor ⸻ Overall Focus ➡️ Developing ML models ➡️ Data analysis & preprocessing ➡️ Backend development (FastAPI & Flask) ➡️ Automation workflows ➡️ Azure-based deployment of ML models & APIs

Data Science Intern at Anyatam Adhyayan Education Service Pvt Ltd, Jan 2025 - Apr 2025 · 4 mos, Pune, Maharashtra, India, I Performed EDA and data preprocessing on healthcare datasets using Python. • Built and evaluated ML models (Regression) for disease prediction. • Used metrics like accuracy, precision, and used many techniques for model evaluation. • Integrated models into a Flask app (Healthify) and deployed it for real-time use.

Education

BE, Computer Engineering, Sinhgad Institute of Technology & Science

BE, Computer Engineering, Savitribai Phule Pune University

Public links

github: https://github.com/psyphon1

leetcode: https://leetcode.com/psyphon1