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Welcome to my portfolio!

AbhisheikJadhav

Obsessed with building smart stuff using code. From streaming systems to LLM-powered tools, I like turning messy ideas into clean, working products. Currently riding the line between machine learning, software, and "wait… that actually works?"

Abhisheik Jadhav

About Me

Get to know me, my background, and what drives me as a developer.

My Journey

I'm a developer and data science grad with a passion for building smart, useful systems—whether it's streaming real-time data, crafting LLM-powered tools, or diving into ML pipelines. My journey into tech started with curiosity and late-night code, and over time, it turned into something I genuinely love doing.

I've worked on everything from machine learning models to full-stack AI apps, always chasing that balance between clean engineering and practical impact. Learning never really stops for me—there's always a new model, tool, or framework to explore.

Outside of tech, I'm usually watching football (the real kind), experimenting in the kitchen, or hitting the hiking trails around San Diego when the weather's playing nice.

Education

Master of Science in Data Science
Sep. 2023 – Mar. 2025

University of California, San Diego

Bachelor of Engineering, Computer Engineering
Jul. 2019 – May 2023

University of Mumbai

Work Experience

Python Developer
Jun. 2024 – Aug. 2024

UC San Diego, San Diego, CA

Instructional Assistant
Sep. 2024 – Dec. 2024

UC San Diego, San Diego, CA

My Projects

Here are some of the projects I've worked on. Each project represents different skills and technologies.

AI Interview Assistant
AI Interview Assistant
Built a full-stack AI-powered tool that simulates mock technical interviews using local LLMs.
Next.js
Python
Tailwind CSS
Ollama
Mistral
CodeLlama
REST APIs
CHF Detection from ECG Signals
CHF Detection from ECG Signals
Developed a CNN-based deep learning model to detect Congestive Heart Failure (CHF) from raw ECG signals.
Python
TensorFlow
CNN
Pandas
Signal Processing
Climate Analysis using NorESM2
Climate Analysis using NorESM2
Performed climate trend analysis using NorESM2 model output, focusing on CO₂-driven global and regional temperature shifts. Includes an interactive CLI for exploring projections.
Python
Pandas
Matplotlib
Regression Analysis
Climate Data
CLI

Skills & Technologies

Here are the technologies and tools I have worked with in my career.

Certifications

AWS Certified Cloud Practitioner

Programming Languages

Python
R
SQL
C++
C
Java
JavaScript
HTML/CSS

Developer Tools & Cloud

Git
Jupyter Notebook
Google Colab
REST APIs
Docker
Kubernetes
Ray
Spark
Kafka
MPI
Supabase
AWS (EC2, S3, Athena)
GCP

Libraries & Frameworks

Pandas
NumPy
Scikit-learn
TensorFlow
PyTorch
Prophet
Hugging Face
Matplotlib
Seaborn
React.js
Next.js (App Router)
Node.js
Tailwind CSS
Langchain

Get In Touch

Want to work together or want to chat? Feel free to reach out!!

Send Me a Message