Jinal Parikh

Software Engineer

Bengaluru, Karnataka, India8 yrs 2 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in fraud detection using machine learning.
Led automation projects improving efficiency by over 60%.
Public speaker at prestigious tech conferences.

Stackforce AI infers this person is a Fintech and Tech professional with expertise in automation and fraud detection.

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Skills

Core Skills

Machine LearningFraud DetectionAutomationProcess ImprovementRisk ManagementAnomaly DetectionWeb DevelopmentUi Development

Other Skills

Generative AISoftware DesignFeature EngineeringData AnalysisMicroservicesData RefinementRPAUI/UXRESTSOAPAngularJavaUnityJavaScriptCommunication

About

I am a Software Engineer at Google, making Google Maps a safer place by protecting it against Fraud. I have been working on Fraud Detection since 3.5 years, leading multiple LLM projects for content moderation and optimising processes. I have worked on large datasets performing multiple data analysis, feature engineering, infra design for fetching signal data, modeling and label improvement projects e2e. Prior to this, I was working with Goldman Sachs, developing end-to-end Automation pipelines for Automation Centre of Excellence at GS. And at Morgan Stanley, where I developed post-trading settlement systems using OOPS. Passionate about leadership, career growth and distributed systems, I regularly share my knowledge around via talks, or blogs. I've been a speaker at multiple industry conferences now- the prestigious Grace Hopper Celebration India in 2024, JOTB, Øredev, Women Who Code, PyCon and Women Techmakers conference! I did B.Tech from DAIICT and am highly interested in Distributed systems, Algorithms and handling systems at scale- basically creating anything that creates an impact on the community. I am a Google WTM Scholar 2017 and love engaging myself in outreach activities to bring more women in Tech. Apart from this, I am a meditation and mindfulness enthusiast, writer and always look forward to learning something new each day!

Experience

8 yrs 2 mos

Total Experience

2 yrs 8 mos

Average Tenure

5 yrs 1 mo

Current Experience

Google

Software Engineer

Apr 2021 – Present · 5 yrs 1 mo · Bangalore

Google Maps
Working as an ML engineer, building solutions to detect and block fraud on Maps
Currently using LLMs for multiple use cases- to automate workflows to save resources, content moderation for abuse against Business Identity
Exploring different PET techniques, Weak Supervision to efficiently productionize LFMs
Designed Snapshots to understand how a Maps POI has changed over time, and enhanced the model with these signals
Ideated and performed Feature Engineering analysis for 6+ features for enhancing the Fraud detection model
Led QC process to establish standardized label accuracy metric; Improved workflows to achieve increased labels accuracy and granularity

Generative AISoftware DesignMachine LearningFraud Detection

Goldman sachs

Technology Analyst

May 2019 – Apr 2021 · 1 yr 11 mos · Bangalore

Assessing & building solutions for Automation Centre of Excellence at GS.
Automated complex Bank account opening process by redesigning with microservices, workflow, huge data refinement pipelines and PDF extraction.
Led a team to develop a strategic automation pipeline, improving the transaction turnaround time of Claims Processing by over 60%.
Worked on other use cases involving Document Digitization, Extraction, Workflow & RPA.
Technologies: REST, DataLake, Spark, ElasticSearch, MongoDB, Vertx.

AutomationProcess Improvement

Morgan stanley

4 roles

Technology Associate

Jan 2019 – May 2019 · 4 mos

Designed a solution for incorporating a new risk flow for post-trade allocations, saving ~10 mn dollars a year.

Risk Management

Technology Analyst

Aug 2018 – Dec 2018 · 4 mos

Built a real-time anomaly detection platform on unsupervised data, to detect incorrect trade prices received from various external systems.

Anomaly Detection

Spring Intern

Jan 2018 – Jul 2018 · 6 mos

Designed & productionized Trade audit web application, resulting in 50% faster trade tracing and viewing.
Developed UI/UX, service based multi-threaded back-end, algorithms for DB2 stored procs, REST and SOAP services.

Web Development

Summer Intern

May 2017 – Jul 2017 · 2 mos · Mumbai Area, India

Developed a UI wizard in Angular 2 for a metadata validation tool, to reduce on-boarding time by 80%.
Built OOP based backend and database integration in Java for the same.

UI Development

Summer intern at teal labs,ahmedabad international school

Software Engineer

May 2016 – Jul 2016 · 2 mos

Developed a frontend and backend module in Unity for an educational ioS app for students.
Performed student performance analysis of large scale data using algorithms in JavaScript.