Savani Suranglikar

Software Engineer

San Diego, California, United States1 yr 9 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in AI and Machine Learning technologies.
Proven experience in full-stack development.
Strong background in data analysis and statistical methods.

Stackforce AI infers this person is a Full-stack Developer with expertise in AI and Data Science across multiple industries.

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Skills

Core Skills

Generative AiFull-stack DevelopmentWeb ScrapingProgrammingSoftware DevelopmentAgile Project ManagementWeb DevelopmentMachine LearningData ScienceData AnalysisEdge ComputingComputer Vision

Other Skills

PythonFastAPIReact.jsNatural Language Processing (NLP)SeleniumNode.jsPython (Programming Language)Object-Oriented Programming (OOP)JavaDALL-EDockerGPTGitHubChatbot DevelopmentJavaScript

Experience

1 yr 9 mos

Total Experience

1 yr 9 mos

Average Tenure

1 yr 9 mos

Current Experience

Calfus inc.

Software Engineer

Aug 2024 – Present · 1 yr 9 mos · Pleasanton, California, United States · On-site

Built an autonomous web scraping agent for legal review queues, handling 2000+ requests daily.
Working on full-stack development across projects using Python, Node.js, Kotlin, and React.js.
Developing Agentic AI projects and conducting in-house R&D.

Generative AIPythonFastAPIReact.jsNatural Language Processing (NLP)Selenium+2

Uc san diego

4 roles

Graduate Teaching Assistant

Apr 2024 – Jun 2024 · 2 mos

CSE 8A: Introduction to Programming I

Python (Programming Language)Programming

Graduate Teaching Assistant

Jan 2024 – Mar 2024 · 2 mos

CSE 8B/11: Introduction to Programming II/ Accelerated Introduction to Programming

Object-Oriented Programming (OOP)JavaProgramming

Graduate Teaching Assistant

Sep 2023 – Dec 2023 · 3 mos

CSE 110: Software Engineering

DALL-EAgile Project ManagementDockerSoftware DevelopmentGPTJava+1

Graduate Research Assistant

Apr 2023 – Jun 2023 · 2 mos

Worked on an AI-driven lifestyle intervention service for hypertensive patients utilizing wearable devices, BP monitors, etc.
Performed data analysis and causal inference on generated lifestyle recommendations.

Analytical SkillsCausal InferencePythonData ScienceStatistical AnalysisData Analysis

Calfus inc.

Software Engineer Intern

Jun 2023 – Sep 2023 · 3 mos · Pleasanton, California, United States · On-site

- Built the MVP of the company's AI-driven cashflow forecasting product from the ground up.

PostgreSQLTypeScriptPythonMachine LearningGoogle Cloud Platform (GCP)Data Science+3

Uc san diego design lab

Graduate Research Assistant

Apr 2023 – Jun 2024 · 1 yr 2 mos

- Developed an AI-based creativity support tool using LLMs.

Chatbot DevelopmentJavaScriptHTMLBootstrap (Framework)Generative AICascading Style Sheets (CSS)+3

Vigyan ashram

Project Intern

Sep 2021 – Jul 2022 · 10 mos

Designed and developed a low cost, end-to-end pest forecasting system to mitigate crop loss.
Leveraging edge computing, deployed regression models on RaspberryPi 4B coupled with a sensor suite and a user-friendly web application.

Edge ComputingMachine LearningReact.jsFirebase