Sidharth Swamy

I love software, math, and data

Applied Math & Stats/Comp Sci Minor at Stony Brook University

Welcome to my corner of the web where I share my work, skills, and projects

Download Resume

Experience

Software Engineer Intern

Zeno, EV Startup

Apr 2025 – Present

  • Built a data pipeline for Modbus and monitoring devices at battery swap stations (India, Africa), ingesting via NNG sockets and streaming over UDP/TCP with zlib compression into Parquet on S3.
  • Handled compressed CAN messages over UDP, generating MF4 files with asammdf.
  • Developed a Voila analytics layer on Parquet data to detect outages and other device events.
  • Produced Windows firmware-flashing binaries and debugged GitHub Actions builds, resolving false malware detections.

Projects

MNIST Convolutional Neural Network

CNN built from scratch in Python that classifies handwritten digits from the MNIST dataset.

Boeing Database

SQL database integrating 45,000+ data points on Boeing aircraft, airports, airlines, flights, and incidents.

Airfleets Scraper

Python web scraper for airfleets.net that extracts production list data from selected aircraft types.

Gmail Filter

Python tool utilizing the Google Gmail API to filter and delete emails based on custom keywords and senders.

Skills

Python Python
Java Java
MS Access MS Access
HTML HTML

Coursework

Software

Data Structures & Algorithms
  • Program using sophisticated features of object-oriented programming
  • Define and use data types and data structures
  • Design algorithms with consideration for time and memory efficiency
Object Oriented Programming
  • Programming in Java, using concepts such as object classes, encapsulation, inheritance, and polymorphism
  • Programming with sound code structure and use systematic software debugging and testing techniques
Python Programming
  • Used computing tools and techniques to create computer programs in Python
  • Used multiple levels of abstraction, models, and simulation in computation
  • Created algorithms to develop and express solutions to computational problems

Math

Linear Algebra
  • Applied linear models, including Markov chains and regression, to solve real-world problem
  • Performed vector-matrix operations and solved equations using Gaussian elimination and determinants.
  • Mastered vector spaces, LU decomposition, and computational techniques for efficient problem-solving
Multivariable Calculus
  • Mastered vector algebra, calculus for multi-variable functions, and coordinate systems
  • Used tools like Maple for solving and visualizing problems
  • Applied Green’s, Divergence, and Stokes’ Theorems to solve vector calculus problems
Probability & Statistics
  • Surveyed data analysis techniques, including stem-and-leaf displays, box plots, and schematic plots
  • Explored probability distributions, including binomial, normal, and t-distributions, and conditional distributions
  • Applied confidence intervals, significance tests, and straight-line fitting in statistical analysis using R
Finite Mathematics
  • Applied graph theory concepts like isomorphism, graph coloring, Hamilton circuits, and tree searches
  • Solved combinatorial problems using generating functions, inclusion-exclusion, and recurrence relations

Data

Data Analysis
  • Applied probability theory and statistical methods like chi-square and F-distributions
  • Analyzed data using regression, ANOVA, and categorical tests
  • Completed projects using R and Python on linear and multiple regression with synthetic data
Data Science & Machine Learning
  • A rigorous introduction to machine learning and GIS mapping techniques that are being applied in economics
  • Worked with teams to create multiple neural networks
Database Design
  • Designed database applications using Entity-Relationship modeling and the relational data model
  • Developed and queried databases using SQL and database development tools
  • Completed a project involving database design, implementation, and administration