Meet Patel

Software Engineer

Bengaluru, Karnataka, India3 yrs 7 mos experience

Key Highlights

Top 5% graduate in Computer Science.
Guardian on LeetCode with a rating of 2191.
1st place in Deutsche Bank Global Hackathon 2024.

Stackforce AI infers this person is a Backend-heavy Fullstack Developer with expertise in Fintech and Cloud Solutions.

Contact

Skills

Core Skills

Full Stack DevelopmentSystem DesignNatural Language Processing

Other Skills

AWSAlgorithmsAmazon Web Services (AWS)AutomationC++Cascading Style Sheets (CSS)CassandraClient EngagementCloud ManagementCompetitive ProgrammingData StructuresDeep LearningDjangoDockerETL

About

- SDE II @Uber - Full Stack Development (Backend Heavy) - Passionate Competitive Programmer - Competitive Programming: Guardian on LeetCode (Rating: 2191), Codeforces (Expert:1702), Codechef (Rating: 2146:5⭐), Hackerrank (6⭐) - Solved 3000+ algorithmic problems on various platforms like Codeforces, Codechef, Leetcode, geeksforgeeks - Proficient in Data Structures, Algorithms and Object Oriented Programming - Graduated in the top 5% of a class comprising 280+ Computer Science students. - Google Kickstart 2021 Ranks: RoundA(669), RoundB(360), RoundC(562), RoundH(606) - Facebook HackerCup 2021: Qualification Round(379/34588), Round1(1177/12692), Round2(Rank:1812) - UberHacktag 2021: cleared qualification round 154/24372 teams. - Kaggle Challenge: Plant Pathology 2021: Rank 97/626 teams, Top 15%.

Experience

Uber

Software Development Engineer II

Oct 2025 – Present · 5 mos · Bengaluru, Karnataka, India · Hybrid

Spring BootReactJSGraphQLOpenShiftETLMicroservices+2

Amazon

Software Development Engineer II

Feb 2025 – Oct 2025 · 8 mos · Bengaluru, Karnataka, India · Hybrid

Deutsche bank

2 roles

Software Development Engineer II

Promoted

Oct 2024 – Jan 2025 · 3 mos · Pune, Maharashtra, India · Hybrid

Software Development Engineer

Jul 2022 – Oct 2024 · 2 yrs 3 mos · Pune, Maharashtra, India · Hybrid

1st place Winner in Deutsche Bank Global Hackathon 2024, organized by Dementia UK organization
Recognition: Engineer of the Month, Deutsche Bank - Feb 2024
Engineered ETL pipelines with core micro-services to automate transaction reporting for big data ingested from 4 countries, handling JSON, CSV, AVRO, and Parquet formats, resulting in annual cost savings of $5M USD.
Enhanced resource efficiency with an in-house service management tool akin to CloudRun, slashing resource consumption by 80% and yielding $1.5M USD in infrastructure savings through on-demand procedures.
Engineered an end-to-end monitoring system utilizing Spring Boot, ReactJS, GraphQL, Grafana, and OpenShift to track data lineage, monitor database resource usage, and provide real-time status updates for active services.
Integrated role-based authentication, reducing troubleshooting time by 98% and MTTR by 90%.
Pioneered an automatic fleet management system to streamline updates across a vast repository set and deploy new artifacts with minimal effort, eliminating manual tasks and reducing development time by 95%.
Implemented CI/CD pipelines with TeamCity and Liquibase for automated database change deployments, reducing manual intervention and cutting deployment times by 50%.

Neosurge

Software Development Engineer

Dec 2021 – Jun 2022 · 6 mos · Pune, Maharashtra, India · Remote

Asset Management Platform: Architected and delivered a suite of portals for asset management, featuring client onboarding, live stock tracking, buy/sell operations, portfolio analysis, real-time notifications, and chat functionality.
Enhanced client engagement by 30% and reduced inquiry response time by 50%.
AWS Deployment: Deployed and managed services on AWS, utilizing Lambda functions, API Gateway, Elastic Beanstalk, CodeCommit, IAM, CloudWatch, CloudFormation, CodeGuru, SNS, and SES.

Deutsche bank

Technical Analyst

May 2021 – Jul 2021 · 2 mos · Pune, Maharashtra, India · Remote

Context-Aware Chatbot Development: Fine-tuned BERT-large to enhance response accuracy by 6%, reducing search time from 4 minutes to 300 milliseconds. Conducted comparative analysis with BERT, RoBERTa, T5, GPT-3, and XLNet to optimize model performance.
NLP Optimization: Utilized GPT-3 for page summarization and various matching algorithms (FastText, Word2Vec, Glove, BM25) to enhance response time by 92%.
Chatbot Interface & Deployment: Developed a ReactJS-based chatbot interface, and productionized it with Google Cloud Platform (GCP) using Cloud Run for scalable service management and App Engine for the user interface.