Ankita Ugale

Software Engineer

Pune, Maharashtra, India5 yrs 11 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Designed a self-mutating CI/CD pipeline for Alexa ecosystem.
Resolved metrics pollution, enhancing debugging efficiency.
Mentored new engineers, fostering team growth.

Stackforce AI infers this person is a SaaS-focused Software Engineer with expertise in CI/CD and data management.

Contact

ankita.u@browserstack.com LinkedIn

Skills

Core Skills

Large Language Models (llm)Ai AgentsJavaContinuous Integration And Continuous Delivery (ci/cd)Problem SolvingSoftware Development

Other Skills

AWS CloudFormationBootstrapC++CSSCode ReviewData StructuresGitHTMLJavaScriptLangChainLeadershipProduct DevelopmentPrompt EngineeringReactRetrieval-Augmented Generation (RAG)

About

Hello everyone, I am Ankita Ugale, with nearly two years of experience as a Software Engineer, I bring a passion for crafting efficient, scalable solutions to complex problems. My journey in software development has been marked by a commitment to continuous learning and a drive to deliver high-quality results. I excel in collaborating with cross-functional teams, leveraging agile methodologies to deliver impactful projects. My expertise lies in designing and implementing robust software solutions, with a focus on clean, maintainable code. I thrive in dynamic, fast-paced environments, constantly seeking opportunities to push the boundaries of technology and innovation. Let's connect and explore how we can work together to tackle exciting challenges and drive success in the world of software engineering.

Experience

5 yrs 11 mos

Total Experience

1 yr

Average Tenure

1 yr 4 mos

Current Experience

Browserstack

Software Engineer

Jan 2025 – Present · 1 yr 4 mos · Remote

Large Language Models (LLM)LangChainRetrieval-Augmented Generation (RAG)AI AgentsPrompt Engineering

Amazon

Software Development Engineer 1

Jul 2022 – Jan 2025 · 2 yrs 6 mos · Maharashtra, India

Designed and implemented a self-mutating CI/CD pipeline using AWS CDK for a tier-1 service serving 134K TPS in Alexa ecosystem , automating deployment processes, enhancing code quality through comprehensive testing, and establishing critical alarms and rollback mechanisms.
Diagnosed and resolved metrics pollution in the service, saving around \$0.50 per CloudWatch metric for more than 1M of instances, enhancing the metrics ecosystem, and earning an Operational Excellence(OE) win for the service by eliminating metric pollution which resulted in improved debugging efficiency,and cleaner representation of service health graphs.
Developed and integrated an inter-service communication feature to transmit essential data, facilitating accurate voice history rendering in the Alexa app and resolving data consistency issues for 95 million Alexa audio responses monthly, ensuring compliance with Amazon's customer trust policy.
Architected a secure, service-level encryption and decryption solution to protect customer data in transit and at rest, which was being exposed for almost 20k weekly requests to insure compliance with Amazon's customer data privacy policy and safeguarding customer trust.
Mentored and guided a fresh grad SDE 1, onboarding her to the team processes and services.

JavaProblem SolvingGitContinuous Integration and Continuous Delivery (CI/CD)Software DevelopmentSpring Boot+4

Microsoft

Microsoft Engage'21 Mentee

Nov 2021 – Jan 2022 · 2 mos

Datametica solutions private limited

Software Intern

Oct 2021 – Apr 2022 · 6 mos · India

Refined user interface of Data Migration Tools to improve user experience, resulting in 20% decrease in support tickets from external stakeholders.
Developed and implemented new features for Data Migration Tools, increasing efficiency by 30 % for service department and external stakeholders.
Tech stack: Java, SpringBoot, React, Internal Tools

Software DevelopmentCode ReviewProduct DevelopmentSkill Development