Achyut Kulkarni

Software Engineer

Sunnyvale, California, United States3 yrs 8 mos experience

Key Highlights

Expert in MuleSoft API development and integration.
Strong background in cloud data warehousing and automation.
Passionate about AI-driven solutions in integration engineering.

Stackforce AI infers this person is a SaaS integration specialist with strong expertise in API management and automation.

Contact

achyutskulkarni24@gmail.com LinkedIn

Skills

Core Skills

Product ManagementData AnalysisApi ManagementSystem IntegrationMulesoft Anypoint Platform

Other Skills

SQLMicrosoft Power AutomateProject PlanningProduct MarketingSoftware DevelopmentPL/SQLRelational DatabasesExtract, Transform, Load (ETL)Python (Programming Language)TableauMicrosoft Power BIREST APIsMicroservicesData ManagementMicrosoft Power Apps

About

I’m a Solutions Engineer at CurieTech AI, where I help organizations harness AI-driven automation to accelerate their integration and development workflows. My work focuses on transforming the MuleSoft development lifecycle from project generation and data transformation to automated testing, documentation, and intelligent code reviews through CurieTech AI's agentic platform. Before joining CurieTech AI, I worked at Accenture as a MuleSoft Developer, delivering API-led integrations, implementing CI/CD pipelines, and leading migrations to Mule 4. My background also includes experience with Azure integrations, message queues, and optimizing system performance across enterprise environments. I hold a Master’s in Management Information Systems from SUNY Buffalo, where I developed a strong foundation in cloud data warehousing, SQL, Python, and ETL pipelines — bridging the gap between technical innovation and business outcomes. I’m passionate about how AI and automation are redefining integration engineering, helping teams build smarter, faster, and more maintainable solutions. Outside of work, I’m a classically trained Hindustani vocalist and an aviation enthusiast, always eager to connect over technology, music, or ideas that create meaningful impact.

Experience

3 yrs 8 mos

Total Experience

2 yrs 9 mos

Average Tenure

11 mos

Current Experience

Curietech ai

Solutions Engineer

Jul 2025 – Present · 11 mos · Sunnyvale, CA · On-site

Ruffalo noel levitz

UB Engagement Ambassador

Oct 2024 – May 2025 · 7 mos · United States · On-site

Strengthened key client relationships and enhanced stakeholder engagement through high-impact fundraising campaigns for the University at Buffalo, boosting institutional contributions.
Resolved donor concerns swiftly and professionally through strategic communication, handling up to 100 outreach calls per hour.
Maintained a perfect attendance record and set a high standard for dependability and productivity.

University at buffalo school of management, the state university of new york

Project Clinic Intern

Sep 2024 – Jan 2025 · 4 mos · Buffalo, New York, United States · On-site

SQLProduct ManagementMicrosoft Power AutomateProject PlanningProduct MarketingData Analysis+8

Accenture

2 roles

Application Development Analyst(Mulesoft)

Promoted

Dec 2023 – Jun 2024 · 6 mos

Worked on the project specifically focused on mule3 to mule4 migration.
Used MMA tool for the basic migration, updated the connector configurations and mapping the keys manually.
Worked closely with the clients on discussing the demands, expectations and issues faced during migration.

API ManagementSystem IntegrationREST APIsMicroservicesData ManagementMicrosoft Power Apps+13

Application Development Associate(Mulesoft)

Sep 2021 – Dec 2023 · 2 yrs 3 mos

Experience in design and build of mule applications using MuleSoft Anypoint Platform.
Responsibilities include Creating RAML design of particular API and Implementation(Build) of API using Anypoint Studio and managing the applications in cloudhub

MuleSoft Anypoint PlatformAPI ManagementSystem IntegrationREST APIsMicroservicesData Management+17

Prinston smart engineers

Machine learning intern

Nov 2020 – Jan 2021 · 2 mos

> Gained understanding on machine learning and its applications used in current era.
> Gained hands-on experience in implementing various learning models such as regression,KNN classification, Random forest and train models to predict the salary of an individual, classify wine based on their quality and predicting housing trends

Tequed labs

Full stack development

Jun 2020 – Jul 2020 · 1 mo

> Acquired skills on front end and back end development by using html,css,php.
> As a part of project was able to develop a doctors clinic appointment website from scratch.