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Siddhesh RangnekarSR
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Siddhesh Rangnekar

@siddheshrangnekar

I build scalable full-stack applications, enterprise integrations, and AI-powered backend workflows.

India
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At CollateralBuddy, I build full-stack web applications and scalable backend services with React, Python, FastAPI, and Node.js. My HubSpot and Salesforce integrations reduced manual document processing by 70%, while application optimizations reduced end-to-end latency by 30%.

I've developed and maintained 20+ production REST API endpoints for enterprise applications serving 200+ active users, owning work from requirements and technical design through testing, deployment, monitoring, debugging, and production support. I also build reusable UI components, backend services, PostgreSQL data models, Docker deployments, and CI/CD workflows that improve delivery speed and maintainability.

My background combines software engineering, data science, and industrial AI. I've built predictive models, automation pipelines, explainable neural-symbolic fault diagnosis systems, and sustainability analytics that identified a potential 21% CO₂-emissions reduction opportunity.

Experience

Work history, roles, and key accomplishments

LL

Data Science Intern - Software & Automation Focus

L&T Technology Services (LTTS)

Jan 2025 - Apr 2025 (3 months)

Built Python-based predictive models and automated data pipelines for large operational datasets, applying preprocessing, feature engineering, and evaluation workflows. Developed automation tools and reusable components to improve processing efficiency.

LUT University logoLU

Research Assistant

LUT University

Aug 2022 - Feb 2023 (6 months)

Applied Python-based statistical modeling to industrial datasets, quantifying a 21% potential reduction in CO₂ emissions through high-temperature heat pump deployment. Produced technical reports and data visualizations for stakeholder-facing insights.

DL

Project Engineer

DFW Envirotech India Pvt. Ltd.

Jun 2019 - Jun 2021 (2 years)

Tracked project KPIs and installation timelines across multiple concurrent installations, preparing progress reports that enabled data-driven planning and on-schedule execution. Automated project reporting and KPI tracking using spreadsheet-based analytical tools.

UL

Intern

UltraTech Cement Ltd.

Nov 2018 - May 2019 (6 months)

Analyzed material and process data to identify blending inefficiencies, improving fly ash silo blending efficiency by 2% and reducing material waste by 10% through data-informed strategy changes.

Education

Degrees, certifications, and relevant coursework

Visvesvaraya National Institute of Technology logoVT

Visvesvaraya National Institute of Technology

Master of Technology, Applied Artificial Intelligence

2024 -

Pursuing M.Tech in Applied Artificial Intelligence.

LUT University logoLU

LUT University

Master of Science, Energy Technology

2021 - 2023

Graduated with M.Sc. in Energy Technology.

FE

Fr. Conceicao Rodrigues College of Engineering

Bachelor of Engineering, Production/Industrial Engineering

2015 - 2019

Graduated with B.E. in Production/Industrial Engineering.

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