Software Engineer

Sashank Madhusudan Rajam

+1-518-***-**** ***********@*****.*** linkedin.com/in/sashankrm/ github.com/sash7410 New York City Summary

Full-stack Engineer specializing in end-to-end development of distributed systems and cloud-native SaaS applications. Experience in architecting scalable backend microservices, responsive front-end solutions, and implementing DevOps practices. Experience in scaling an Antler-backed startup 0-1 and spearheading zero-loss, event-driven migration of 7 PB of compliance data cross cloud for JP Morgan Chase. NYU MS CS Graduate with focus on distributed computing and system design and merit-based scholarship recipient. PROFESSIONAL EXPERIENCE

Stealth Startup (Antler Accelerator’2023)New York, USA Founding Engineer May 2024 - Current

An Antler-backed startup from the 2023 cohort, founded by a former Amazonian and one of the first 50 employees at Uber.

- Independently designed and shipped 3 core product verticals, owning the full lifecycle from database design to development to production

- Grew from 0-1500+ users by building an AI resume parser processing 5K resumes from 7 days to 10 mins with auto verify and cold outreach

- Engineered marketing pipelines with OneSignal and UpStash Kafka, boosting CTR by 37% via real time tracking across ads, emails, messages. Flipkart (Walmart Subsidiary)Remote

Software Development Engineer Feb 2023 - August 2023 Flipkart is India's largest e-commerce platform, owned by Walmart, has over 500 million customers, surpassing Amazon India.

- Built rule-based automated support workflow engine empowering non-tech teams, reducing escalations by 30% and saving $1M annually.

- Scaled services to handle 1K+ req/sec using distributed caching (Redis, CDN), maintaining 99.999% uptime during peak sales events.

- Established 0 downtime deployments with GCP Cloud Build, Kubernetes canary strategy (2-16 pods), reducing CI/CD lead time by 70%. Smarsh (JP Morgan Chase) Remote

Software Engineer R&D September 2021 - Jan 2023

Smarsh is a compliance leader helping firms like JPMC and BNY archive and monitor billions of messages across 100+ channels

- Spearheaded zero-loss, event-driven cross-cloud migration of 7PB financial data, guaranteeing 100% data integrity and compliance.

- Devised multi-tenant microservices processing 100K+ events/min with Python ETL pipelines & Athena, reducing reconciliation time 83%

- Integrated blue-green deployments with circuit breakers and feature flags enabling continuous releases with 2 hour lead time to prod.

- Decomposed monolithic architecture into event-driven microservices reducing latency 35% and enabling 2x faster delivery. Quotient (Coupons.com) Remote

Software Engineering Intern Jan 2021 - September 2021

- Migrated services processing 100K+ daily transactions from Java to Go with reactive patterns, boosting throughput 30%, reducing latency 25%

- Built Spring Batch retry job for failed transactions, eliminating manual intervention, resulting in over a 50% reduction in delayed payments.

- Designed and Documented GraphQL APIs using Stoplight, collaborating with global Agile teams to cut contractual disputes by 80% New York University New York, NY, USA

Graduate Teaching Assistant, CS GY 9223 - Cloud Computing and Big Data September 2024 - May 2025

- Mentored 5+ teams on designing/deploying scalable cloud-native apps (Amazon Lex, Elasticsearch, Kubernetes, CloudFormation); led recitations/demos, developed/examined 70+ students on serverless, microservices, distributed systems, & held weekly office hours. Grader, CSCI-UA 102 011 Data Structures September 2024 - January 2025

- Evaluated 315+ assignments across 9 projects for 35 students; graded mid/final exams & provided detailed feedback on algorithm efficiency, trees, graphs, sorting, ensuring consistent evaluation of theoretical concepts & problem-solving. EDUCATION

New York University Master of Science in Computer Science GPA:3.86/4.0 May 2025 Visvesvaraya Technological University Bachelor of Engineering in Information Science GPA:3.83/4.0 June 2021 SKILLS

Technical Proficiencies: Python, Java, C++, JavaScript, TypeScript, SQL, Go, Swift Frameworks and Libraries: React, React Native, TensorFlow, PyTorch, Node.js, Pandas, Next.js, Redux DevOps and Infrastructure: Amazon Web Services (EC2, S3, Lambda), Google Cloud Platform, Kubernetes, Docker, Terraform, Redis, CDN Database and Distributed Systems: PostgreSQL, MongoDB, ElasticSearch, Apache Kafka, Hazelcast, Apache Spark, AWS RDS Tools and Methodologies: CI/CD Pipelines (CodePipeline, CloudBuild), Agile (Scrum/Kanban), Test-Driven Development, RESTful APIs Soft Skills and Leadership: Effective Communication, Cross-Functional Collaboration, Mentorship, Problem Solving, Strategic Planning PROJECTS

- Eat Texas [Github, Video] : Built serverless photo-based food delivery app with ML-powered recommendations (SageMaker), real-time order tracking (Lambda, SQS, SES), and conversational AI (Lex) with custom intents and multi-turn dialogue.

- Medilink [Github, Product]: Led 5-member team developing scalable Django app with PostgreSQL, Redis caching, and AWS Elastic Beanstalk; implemented independent chat interface via AWS ElastiCache (Redis).

- RBAC Attendance System [Github, Video]: Engineered distributed Spring Boot microservices with RBAC/JWT authentication, Hystrix circuit breakers, Eureka service discovery, API Gateway routing, and modular REST APIs with OpenAPI specs, caching, and horizontal scaling.

- Volunteered 1 yr+ teaching math (Make A Difference) & CS (Sci-Mi); core team Hackman (DSCE), ACM member, secured funds for Furore

- NYU Run Club member; ran multiple NYC races; professional flautist & veena player; hobbies include puzzles & fiction reading

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