Arhant Jain
Experienced software engineer with expertise in designing and deploying scalable, secure, cloud-native backend systems. I specialize in AWS infrastructure, microservices architecture, and DevOps automation with a focus on delivering high-performance solutions.
0+
Years Experience
0%
API Uptime
0+
New Products Deployed
0M+
Daily API Requests
Python
AWS
Microservices
DevOps
CloudOps
Serverless
Work Experience
Senior Software Engineer (Tech Lead)
Cox Automotive, New Hyde Park, New York
July 2018 to Present
- Led & mentored a team of 6 engineers to design high-performing, scalable, secure finance services products. Managed flows for credit apps, contracting, and document signing, integrating with partners like RouteOne, Honda, and Unifi to create a centralized data storage solution generating millions in annual revenue.
- Coordinated improvements, innovations, and security enhancements including AWS Well-Architected Framework, automated security patching, compliance upgrades, quarterly security reviews, observability dashboards with CloudWatch and New Relic, and real-time service alerts with automated rollbacks.
- Led quarterly PI planning aligned with product roadmaps, delivering fully tested solutions with 99.99% API uptime and response times consistently under SLA thresholds for high-volume AWS-hosted services.
- Introduced a new CI/CD pipeline using Terraform, Docker, and GitHub Actions, increasing release efficiency from weekly to daily in lower environments and from monthly to every sprint in production, improving productivity by over 150%.
- Designed, prototyped, and implemented Credit App and Leads APIs connecting third-party OEMs and vendors to a common repository, estimated to bring over $16 million in the first year with 800 dealers connected out of ~10,000.
- Pioneered AWS Lambda, Serverless Framework, and Terraform (Infrastructure as Code) implementations at Cox Automotive.
- Led the development of Deal Data API, creating 5 high-performance RESTful endpoints within 3 weeks and 10+ custom solutions for DynamoDB operations not supported by boto3 client.
Data Analyst & Lead Instructor
Center for K12 STEM Education, New York University
May 2017 to May 2018
- Analyzed application data for over a thousand applicants and developed workflow and scripts to automate the application process using Google Apps Script and Python, increasing efficiency of each phase by 4 times.
- Led a team of 5 to assist middle school students in the CrEST program and designed activities using Arduino UNO with basic C++.
- Represented NYU with the concept of Smart Cities at the USA Science & Engineering Festival 2018 in Washington DC, with a crowd of over 400,000 people.
Skills
Software Languages
- Python (Proficient)
- Java (Working knowledge)
- C++ (Working knowledge)
- SQL (Familiar)
Cloud & DevOps
- Amazon AWS
- Docker
- Terraform
- Serverless Framework
- GitHub Actions
Development Tools
- Django
- Jenkins
- Postman
- SQL Alchemy
- GIT
- API Connect
- CloudFormation
Monitoring & Security
- New Relic
- SPLUNK
- WAF
Big Data & Databases
- Apache Spark
- MySQL
- MapReduce
- DynamoDB
Education
Master's in Computer Science
NYU School of Engineering, New York, NY
Graduated May 2018
GPA: 3.41/4.0
Bachelor's in Information Technology
Northern India Engineering College, Delhi
Graduated June 2016
GPA: 3.7/4.0
School Projects
360FITNESS
A comprehensive fitness web application deployed in the cloud with chatbot integration.
- Developed and deployed a web app in the cloud for complete fitness using AWS EC2, also hosting Let's Chat for chatting.
- Implemented AWS Cognito for login & session management, Twilio for SMS notifications & AWS Lex integration for exercise information.
- Created location-based gym search using Google Geocoding, Reverse Geocoding & Directions APIs.
- Utilized AWS DynamoDB to store user data, calculate BMI & customize meal plans.
- Integrated AWS Lex with Facebook Chat for broader accessibility.
Tweet Map
Real-time tweet visualization system deployed on cloud infrastructure.
- Developed and deployed a cloud-based system using Elasticsearch, Elastic Beanstalk, Django, and Python.
- Created a real-time tweet collection system based on hashtag filters.
- Implemented visualization of tweets on Google Maps using both marker and heat map approaches.
- Built a responsive web interface for exploring tweet data geographically.
NYC Crime Analysis
Big data analysis project focusing on crime patterns in New York City.
- Analyzed and cleaned NYPD crime record data up to 2016 using big data technologies.
- Created detailed visualizations showing crime locations, timing, and frequency patterns.
- Developed hypothesis-based analysis to identify vulnerable locations and peak crime hours.
- Built a system to reduce crime probability through data-driven insights.
Tennis 360
Interactive tennis training and analytics platform with motion tracking.
- Developed a tennis training application using computer vision and motion tracking.
- Implemented real-time analysis of player movements and swing mechanics.
- Created performance metrics and personalized training recommendations.
- Built an interactive interface for coaches and players to review training data.
Gaming Culture
Social platform connecting gamers with similar interests and play styles.
- Created a web platform to connect gamers based on game preferences and play styles.
- Implemented matchmaking algorithms to suggest compatible gaming partners.
- Developed community features including forums, event scheduling, and team formation.
- Integrated with popular gaming platforms for seamless profile connections.
Research Projects
Ethereum Smart Contracts
Research on blockchain technology applications for ticket systems.
- Researched Ethereum Blockchain and Initial Coin Offerings (ICOs).
- Developed secure Smart Contracts using Solidity.
- Worked on solving ticket duplication, ticket touting, and bot-based ticket purchasing problems.
- Created proof-of-concept implementation to demonstrate the proposed solutions.