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Hey, I'm Satyam

Satyam
Kulkarni.

|

Building intelligent systems at the intersection of Machine Learning, Data Science, and Software Engineering — focused on production-ready AI solutions that tackle real-world problems.

Get in Touch View GitHub ↗ Resume ↗
#233
GSSoC rank
40k+
participants
3+
OSS repos
3
ML projects
Satyam Kulkarni
Machine Learning◆ Data Science◆ Python◆ C++◆ SQL◆ GPT-4o◆ Gemini API◆ Scikit-learn◆ Pandas◆ NumPy◆ Open Source◆ GSSoC◆ Streamlit◆ ACM · IEEE◆ Machine Learning◆ Data Science◆ Python◆ C++◆ SQL◆ GPT-4o◆ Gemini API◆ Scikit-learn◆ Pandas◆ NumPy◆ Open Source◆ GSSoC◆ Streamlit◆ ACM · IEEE◆
about me

Who I Am

AI & Data Science undergrad at AISSMS IOIT, Pune. I build end-to-end ML systems and AI-powered applications — from fraud detection pipelines and food recommendation engines to AI code review tools using GPT-4o. Currently expanding into Generative AI and production ML engineering while contributing to open-source through GSSoC.

Core Areas
🤖
Machine Learning
📊
Data Science
✨
Generative AI
🐍
Python · C++ · SQL
🔓
Open Source
🔗
AI APIs
📈
Data Analysis
🧠
Model Engineering
🛡
AI Security
Email
kulkarnisatyam666@gmail.com
Location
Pune, Maharashtra, India
Education
B.Tech — AI & Data Science
Blog
medium.com/@kulkarnisatyama666 ↗
Status
Open to internship & research roles
technical skills

My Tech Stack

Programming Languages
🐍
Python
92%
⚙
C++
78%
🗃
SQL
75%
🔵
C
68%
ML & Data Science
🔬Scikit-learn
🐼Pandas
🔢NumPy
📊Matplotlib
🎨Seaborn
📉Statistical Modelling
🔎Feature Engineering
✅Model Evaluation
🧹Supervised Learning
🌊Data Visualization
AI Tools & APIs
🤖OpenAI GPT-4o
💎Google Gemini API
🧠IBM Watson
📚RAG Systems
🔗LLM Integration
✍Prompt Engineering
🤝AI Copilots
Core CS
🌲DSA
🧱OOP
🧨Problem Solving
⚡Algorithms
Platforms & Tools
🐙Git & GitHub
🚀Streamlit
△Vercel
📓Jupyter
🧪Postman
🐧Linux
education

Academic Background

2024 – 2028 (Expected)
B.Tech — Artificial Intelligence & Data Science
AISSMS Institute of Information Technology (IOIT), Pune
CGPA: 8.03 / 10.0
2022 – 2024
Higher Secondary Education (HSC)
MSS Junior College, Pune
82.80%
Completed 2022
Secondary Education (SSC)
Good Samaritan School, Pune
92.80%
projects

Stuff I Built

SecureCode•Foodie Intelligence•Fraud Detection• SecureCode•Foodie Intelligence•Fraud Detection• SecureCode•Foodie Intelligence•Fraud Detection• SecureCode•Foodie Intelligence•Fraud Detection•
01 / AI · Security
SecureCode — AI-Powered Secure Code Review Tool
Scans codebases and generates OWASP-aligned vulnerability reports using GPT-4o & Gemini API.
  • AI-driven static analysis for injection flaws, broken authentication, insecure dependencies.
  • Interactive Streamlit UI for real-time code uploads and structured security feedback.
GPT-4oGemini APIPythonStreamlitOWASP
GitHub
securecode — analysis
$python securecode.py --scan app.py
[*] Initializing GPT-4o scanner...
[*] Running OWASP Top-10 checks...
[!] SQL Injection — line 42 HIGH
[!] Broken Auth — line 78 MEDIUM
[*] Generating report via Gemini...
✓ security_report.pdf saved
AI · Security
02 / Data Science · ML
Foodie Intelligence — Smart Recommendation Engine
Analyzes behavioral patterns, time-of-day trends, and location data for personalized food recommendations.
  • SQL-to-Python pipeline with Pandas, NumPy, Seaborn for analysis and feature extraction.
  • Deployed on Vercel with Streamlit frontend; journey documented on Medium blog.
PythonPandasNumPySeabornSQLStreamlitVercel
GitHub Blog
foodie_intel — pipeline
$python recommend.py --user 1042
[*] Loading 2,847 order records...
[*] Analyzing time-of-day patterns...
[*] Applying SQL location filters...
✓ Top: Biryani (score: 0.94)
✓ #2: Pasta (score: 0.87)
✓ Deployed — Vercel live
Data · ML
03 / ML · FinTech
Fraud Detection — FinTech ML System
Supervised ML pipeline for financial fraud prevention with class imbalance handling and interpretable outputs.
  • Logistic Regression, Random Forest & Gradient Boosting with precision, recall, F1 evaluation.
  • Interpretable outputs supporting data-driven fraud prevention decisions.
Scikit-learnRandom ForestGradient BoostingPythonPandas
GitHub
fraud_detection — eval
$python train.py --model rf --cv 5
[*] Dataset: 284,807 transactions
[*] Handling class imbalance...
[*] Training Random Forest...
Precision: 0.97 | Recall: 0.93
F1-Score: 0.95 ✓ PASS
Model: fraud_rf_v1.pkl saved
ML · FinTech
experience

What I've Done

Feb 2026
CodeAlpha
Internship
Machine Learning Intern — CodeAlpha
Built a strong foundation in core ML algorithms and real-world applications through hands-on project work.
  • Implemented supervised learning algorithms: Linear Regression, Logistic Regression, Decision Trees
  • Worked on end-to-end ML pipelines — data preprocessing, feature engineering, model training and evaluation
  • Applied cross-validation and hyperparameter tuning to optimize model accuracy
  • Gained practical experience with Scikit-learn, Pandas, and NumPy in a professional environment
  • Reinforced understanding of algorithm selection and bias-variance tradeoffs
2024
GSSoC
Open Source
Open Source Contributor — GirlScript Summer of Code
Contributed to 3+ active repositories spanning ML, JavaScript, and OS integration. Ranked #233 among 40,000+ participants globally.
  • Implemented features and optimised code across multiple ML-based OSS projects
  • Collaborated via branching, PRs, code reviews, and merges
  • Built a track record of clean, well-documented, production-ready code
Present
ACM
Leadership
Technical Secretary — ACM Student Chapter, AISSMS IOIT
Leading technical initiatives at the ACM student chapter.
  • Spearheaded workshops, hackathons, and knowledge-sharing sessions
  • Managed event logistics and coordinated volunteers
2024–25
IEEE
Leadership
Technical Team Executive — IEEE Student Branch, AISSMS IOIT
Organised IEEE-sanctioned technical events promoting engineering excellence.
  • Coordinated with faculty advisors on programs promoting professional development
  • Ran IEEE-sanctioned seminars and tech events across the branch
achievements

Highlights & Recognition

01
🏆
GSSoC Rank #233 / 40,000+
GirlScript Summer of Code · 2024
Ranked 233 among 40,000+ participants — contributing to 3+ ML and JavaScript repos through structured PRs, code reviews, and clean documentation.
02
💡
IBM Bank of Baroda Hackathon
IBM · BoB Hackathon
Participated in the IBM BoB Hackathon — built an AI-powered fintech solution applying ML and data engineering skills in a competitive, time-constrained environment.
03
💻
LeetCode Consistent Solver
LeetCode · Ongoing
Badge holder for consistent problem solving — strong DSA proficiency and competitive coding discipline.
04
🏏
District-Level Cricket Player
Competitive Cricket · Maharashtra
District-level cricket with tournament experience — reflects teamwork, discipline, and performance under pressure.
contact

Let's Connect

kulkarnisatyam666@gmail.com
LocationPune, Maharashtra, India
Emailkulkarnisatyam666@gmail.com
StatusOpen to internship & research
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