Siddhant Kodolkar

About Siddhant Kodolkar

3+ years of experience building scalable software systems, data pipelines, and intelligent applications across web, ML, and cloud environments.‣ Skilled in designing and developing backend architectures, real-time dashboards, and AI-driven analytics solutions using Python, FastAPI, Next.js, PostgreSQL, and AWS.‣ Strong foundation in data engineering — experienced in ETL design, distributed processing (Airflow, Spark), and data warehousing (Redshift, S3).‣ Hands-on with machine learning model development, deployment, and visualization using Python, Scikit-learn, and Recharts.‣ Highly analytical and detail-oriented, with a focus on optimizing performance, improving system reliability, and driving data-backed decisions.‣ Proven ability to work independently and collaboratively in fast-paced, cross-functional environments, delivering end-to-end product solutions.‣ Passionate about solving real-world problems through technology, with ongoing projects in fintech, observability, and autonomous driving.Specialties:Full-Stack Development, Data Engineering, Backend Systems, API Design, Cloud Infrastructure, ETL Pipelines, Data Visualization, Machine Learning, Distributed SystemsTechnical Skill Set:‣ Programming: Python, JavaScript, TypeScript, C++, SQL‣ Frameworks: FastAPI, React, Next.js, Node.js, Express‣ Databases: PostgreSQL, MongoDB, Redis, Redshift‣ Cloud & Tools: AWS (S3, EC2, Lambda), Azure, Docker, Kubernetes, Airflow‣ ML & Analytics: Pandas, NumPy, Scikit-learn, PySpark, Tableau, Recharts‣ Version Control: Git, GitHub, CI/CD, GitHub Actions

Experience

1. Software Developer Capstone Project Team Lead

   Medtronic

   Sep 2025 — Present · Lafayette, CO, US

   I am leading the development of an Engineering Development Tool under Anthony Ricke\'s and JD Allen’s Guidance for Medtronic’s Robotic Surgical Technologies team, where we are building real-time data acquisition and 3D visualization features for electromagnetic sensor data used in lung navigation procedures. I oversee integration of multi-node EM sensor streams with a CT-based 3D lung model to enable calibration, registration, and catheter tracking in the LUNA system. I am also designing modular React.js interfaces for synchronized data streaming, visualization, and diagnostic logging to achieve sub-100ms latency and support efficient performance analysis for robotic control teams.

Education

• Vivekanand Education Society's Institute Of Technology

  Bachelor of Engineering - BE , Computer Science with a focus in Artificial Intelligence and Machine Learning

  2020 — 2024

• Hiranandani Foundation School Thane

  Computer Science

  2012 — 2020

• University of Colorado Boulder

  Master's degree, Computer Science with a focus in Software Systems and Cloud Computing