import tensorflow as tf
model = Sequential()
predictions = model.predict(X)
# Training neural network...
from sklearn import neural_network
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Hi, I'm
Satyanarayan Mohapatro

I'm an Aspiring |

Final-year CSE student specializing in AI & Edge Computing, with hands-on experience in machine learning, deep learning, NLP, GenAI, and agent-based systems. I design and build end-to-end ML pipelines, multi-agent workflows, and RAG applications, with a strong focus on creating scalable, real-world AI solutions for cloud and edge environments.

About Me

Satya

I’m a final-year B.Tech CSE student at MIT ADT University, Pune, specializing in AI and Edge Computing. I have hands-on experience in machine learning, deep learning, NLP, GenAI, and building intelligent systems that work in real-world environments.

My journey in technology is driven by a passion for creating practical AI solutions—from end-to-end ML pipelines and multi-agent workflows to RAG applications and cloud/edge deployments. I enjoy designing systems that combine strong engineering with scalable AI models, turning complex ideas into working applications.

I continuously explore the latest advancements in AI, GenAI frameworks, and agentic architectures. Beyond academics, I thrive in collaborative environments, contribute to tech communities, and enjoy sharing knowledge that helps others grow and innovate.

09/2025 - 11/2025

AI Research Intern

Center for Advanced Modeling of Materials & Manufacturing Processes (CAMMP)

Developed a Conditional GAN pipeline for ferritic steel microstructure generation using PyTorch, achieving a significant improvement in FID score (~120 → 45–55). Built reproducible preprocessing workflows, CUDA-optimized training scripts, and automated synthetic image generation pipelines. Enhanced dataset consistency by ~40% and boosted validation throughput by 30%.

07/2025 - 01/2026

Data Science Intern

The Developers Arena

Participated in a 6-month internship focused on real-world data science projects, training modules, and performance evaluations. Gained hands-on experience in data analysis and model development under professional mentorship.

07/2025 - 09/2025

Data Science Virtual Intern

EduSkills Foundation (Altair-supported)

Completed industry-backed training on end-to-end data science workflows, including data collection, cleaning, exploratory analysis, and visualization using Python. Strengthened practical understanding of core data science methods and improved ability to communicate insights through structured visual storytelling.

2022 - 2026

Bachelor of Technology - BTech-CSE

MIT Art, Design & Technology University

Graduating with honors (CGPA: 8.62). Specialized in artificial intelligence and edge computing. Completed projects in machine learning, data analytics, and cross-platform application development.

2020 - 2022

12th(Science)

Smt. Subhadrabai Ramchandra Bhumkar Junior College

Completed 12th (Science) with 86.4%, building a strong foundation in Mathematics, Physics, and Computer Science.

2018 - 2020

Grade 10th

New Times International School

Completed 10th grade with 83.9%, with a strong academic focus in science and mathematics.

Skills & Technologies

Core Technical Skills

Python
80%
SQL
80%
C/C++
70%
ML
90%
DL
80%
NLP
85%
Gen-AI
80%
CV
70%

Tools & Frameworks

TensorFlow
90%
PyTorch
70%
LangChain
80%
LangGraph
60%
Git/GitHub
90%
Power BI
90%
Figma
90%
Streamlit
75%
AWS
50%
n8n
90%

Soft Skills

Problem Solving Teamwork & Collaboration Communication Project Management Creativity & Innovation Time Management Adaptability Growth Mindset

My Portfolio

ML Portfolio

Machine learning application that analyzes sales data and predicts future trends using advanced algorithms and interactive visualizations.

Python Scikit-learn ML Streamlit

DL Portfolio

Deep learning portfolio showcasing neural network models for computer vision, NLP, sequence forecasting, and real-time AI applications.

TensorFlow Keras OpenCV DL

Edge Computing Portfolio

Building real-time AI systems on edge devices like Jetson Nano, Raspberry Pi, and microcontrollers.

Arduino Raspi Jetson Nano Nano BLE

My Projects

Multi-Agent AI Chatbot

Built a multi-agent conversational AI system using LangGraph with structured message routing, tool-augmented reasoning, and persistent state. Integrated real APIs and a Streamlit UI supporting multi-threaded chat and RAG-based queries.

LangGraph LangChain LLM SQLite

Medical RAG Chatbot

Developed a RAG-powered medical chatbot using LangChain, Gemini LLMs, and Pinecone. Implemented PDF ingestion, embedding-based retrieval, and deployed the system on AWS with Docker for real-time, multi-turn medical assistance.

LLM RAG LangChain Pinecone

ResuMatch — LLM ATS Analyzer

Created an AI-based ATS tool using Gemini LLM to compare resumes with job descriptions, extract missing keywords, and generate improvement suggestions. Features PDF parsing, scoring, and a user-friendly Streamlit interface.

Gemini LLM PyPDF2 Generative AI Streamlit

Follow-Up

Developed an ML pipeline (XGBoost, scikit-learn) with NLP (DistilBERT) and LLMs (LangChain) for lead scoring, sentiment analysis, and personalized follow-ups, integrated into a CRM-ready, modular system.

LLM XGBoost NLP Langchain

Cricket Data Analytics

Scraped real-time T20 World Cup data and built interactive Power BI dashboards to analyze player stats, team performance, and match trends. Delivered actionable insights on top performers and tournament highlights.

PowerBI Pandas Python Bright Data

WellTrack

WellTrack is a cutting-edge government application designed to combat malnutrition by leveraging advanced technology to monitor and track nutritional statuses of individuals. Available in both mobile and desktop versions.

Flutter Dart Java XChart

Get In Touch

Let's Work Together

I'm always interested in new opportunities and exciting projects. Whether you have a question, want to collaborate, or just want to say hi, feel free to reach out!

satyaamohapatro@gmail.com
+91 9322574610
Pune, India