About Experience Projects Skills Education Contact

Hello, I'm

Gajanan
Wadekar

I build backend systems and data pipelines. I break things to understand them, debug what others skip over, and optimize until it's right. 8+ years shipping code across four industries.

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Gajanan Wadekar

About Me

A quick snapshot

Software Engineer with 8+ years of experience in Software Development and Data Analytics. A problem solver with an analytical mind and excellent communication skills who thrives in fast-paced environments and cross-functional teams. Always with a positive can-do attitude and curious to learn new technologies. Eager to leverage experience in Data Analytics, Machine Learning, and Software Development to design, develop, and implement systems that create business value.

💼
Experience
8+ Years in Software Dev & Data Analytics
📍
Location
Chicago, IL
💻
Current Role
Sr. Software Engineer @ Anuvu
🎓
Education
MS CS — UT Arlington
✈️
Domain
Aviation & Inflight Systems

Experience

My professional journey

Enterprise Software
→
Process Automation (RPA)
→
Machine Learning Research
→
FinTech Data Engineering
→
Telecom Revenue Analytics
→
Aviation & In-Flight Systems
May 2024 — Present

Senior Software Engineer

Anuvu · Chicago, Illinois

  • Redesigned a high-volume log processing ETL pipeline handling ~1TB of daily logs, reducing data latency from 24 hours to 1 hour using parallelized architecture
  • Built real-time telemetry ingestion services using Python and SNMP protocols to monitor avionics health and performance
  • Implemented in-memory data processing and caching strategies for fast access to flight metadata across 2,000+ daily flights
  • Optimized aircraft log download algorithms, reducing missing flight logs from 15–20% to 3–4%
  • Collaborated cross-functionally to identify root causes for flights with low network availability, pushing availability above 99%
  • Followed CI/CD best practices using GitHub Actions and shell scripts to automate testing and deployment
  • Mentored junior engineers in debugging, testing, and data monitoring best practices
Python Linux Bash SQL SNMP GitHub Actions Grafana
Aug 2021 — May 2024

Software Engineer

Anuvu · Lombard, Illinois

  • Created a wifi rating system for flights that evaluates service quality across multiple parameters on a 5-point scale, identifying poor performing access points
  • Developed automated data collection scripts leveraging SNMP and AT commands to fetch data from avionics equipment on the Server Management Unit
  • Designed a weather outage monitoring system for 20+ global teleport stations using Python, Bash, and REST APIs to notify customers of connectivity drops
  • Proactively diagnosed and resolved GSM modem failures, maintaining high network service availability and significantly reducing downtime
  • Modified multimedia system applications to display real-time data on aircraft using GPS location tracking
  • Created a CLI tool to search packages across Bitbucket projects and provide clone links for developers
Python Linux Bash SQL Git Jira Grafana
Jan 2021 — Aug 2021

Data Analyst

TEOCO Corp · Overland Park, Kansas

  • Conducted Revenue Assurance and Cost Optimization Audits to detect billing errors across telecom circuits
  • Built robust ETL pipelines using Python, SQL, and Alteryx to process, clean, and standardize large datasets
  • Developed data pipelines to organize and standardize data, driving actionable insights for analytics and reporting
  • Identified revenue leakage of more than $1M by researching contracts and agreements for correct telecom circuit details
Alteryx Python SQL Tableau UI Path
Oct 2020 — Dec 2020

Data Engineer Intern

Foxbat Research · Dallas, Texas

  • Redesigned and optimized existing functionalities and database structure for a finance application
  • Developed ETL jobs to update data into database using various data sources and REST APIs
Python SQL Postgres Airflow Tableau
Sep 2019 — Dec 2019

ML Engineer Intern

Foxbat Research · Dallas, Texas

  • Collected and annotated training data to benchmark transfer learning on pre-trained object detection and image classification models
  • Benchmarked state-of-the-art sentiment analysis models on Twitter, IMDB, and Amazon reviews for language model integration
Python TensorFlow PyTorch OpenCV scikit-learn
Mar 2016 — Aug 2018

Software Engineer

Infosys BPM Ltd · Pune, India

  • Designed frontend/UI and backend of web forms and web services using IIS, ASP.NET, .NET Framework, and MS SQL
  • Created stored procedures, functions, and triggers that optimized databases and reduced process completion time by 28%
  • Modified SLA management functionality achieving a 45% reduction in customer complaints
  • Implemented end-to-end RPA for 11 finance processes (AR, AP) using Automation Anywhere — from requirement gathering through deployment
  • Achieved 4 FTE reductions and 75% average handling time reduction with the RPA solution
C# ASP.NET SQL JavaScript RPA HTML/CSS

Projects

Things I've built

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DS-Algo Playground

Interactive educational platform for learning data structures and algorithms through step-by-step canvas visualizations, multi-language code examples, and quizzes. 19 topics covering sorting, searching, trees, graphs, and algorithm techniques.

JavaScript Canvas API HTML/CSS
Source Live Demo
★

JobMatch AI

Chrome extension that analyzes job postings against your resume using AI — match scores, skill gap analysis, salary & location extraction, auto-fill applications, and applied jobs tracking.

JavaScript Chrome MV3 Claude AI
Source
🤖

POMDP Navigation

Agent that learns to navigate a grid with zero location info. Uses Q-Learning with Bayesian belief states to track probability of being in each cell under partial observability.

Python Reinforcement Learning
Source
♟

Chess Piece Detection

Computer vision model that detects chess pieces and locates them on the board. Combines image analysis (Hough transform, corner detection) with a deep neural network for piece classification and move tracking.

Python OpenCV Deep Learning
📈

Stock Price Prediction

Statistical analysis of historical stock data with pattern visualization. Trained RNN and LSTM models to predict next-day stock prices from time series data.

Python LSTM Seaborn
🧠

Decision Boundary NN

Neural network implementation of the perceptron learning rule to compute and visualize decision boundaries for binary classification problems.

Python Neural Networks
Source
🚶

Person Detection

Motion detection in video frames with stationary background. Calculates average velocity and draws bounding boxes around moving persons with 100% accuracy using frame-differencing filters.

Python Computer Vision

Skills

Technologies I work with

Programming

Python SQL Bash C#

Frameworks & Web

FastAPI Flask .NET / ASP.NET REST APIs HTML CSS JavaScript

Data & Cloud

AWS GCP Docker Airflow Snowflake Spark SQL Alteryx Grafana Power BI Tableau

Databases

PostgreSQL MySQL Oracle DB MS SQL Server Snowflake

Python Ecosystem

NumPy Pandas scikit-learn TensorFlow PyTorch OpenCV

Tools & Methods

Git GitHub Actions Linux Jira Agile RPA SNMP

Education

Academic background

🎓

Master of Science — Computer Science

The University of Texas at Arlington

2018 — 2020

GPA: 3.8 · Specialized in Intelligent Systems

🏫

Bachelor of Engineering — Electrical Engineering

University of Pune

2011 — 2015

VP of Electrical Engineering Student Association

Get In Touch

Let's connect

I'm always open to discussing new opportunities, interesting projects, or just having a conversation about technology. Feel free to reach out!

Email
wadekar.gp@gmail.com
LinkedIn
gajananwadekar
GitHub
wadekarg