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Suraj Verma

Backend & Data Infrastructure Engineer | Serverless Data Platforms | Distributed Systems | Large-Scale Analytics Pipelines | AWS Lambda • DynamoDB • S3 • Node.js

Pune District

4+ years of work experience

Morphient
Mar 20251 yr 6 mosPresent

Remote

Contributed to a serverless analytics platform processing billions of records through highly parallel AWS Lambda-based workflows. Optimized aggregation pipelines by replacing HashMap-based processing with AVL-tree-backed structures, eliminating a dedicated sorting phase. Reduced distributed lock contention by redesigning DynamoDB semaphore wake-up logic, significantly lowering database load and unnecessary retries. Investigated and resolved large-scale memory bottlenecks by analyzing object memory amplification and redesigning serialization strategies. Implemented throttling mitigation techniques including batching and randomized jitter to improve stability during large-scale S3 write operations. Improved file-association workflows by replacing quadratic lookup logic with indexed hash-based access patterns.
Incedo Inc.
Jul 20222 yrs 9 mosMar 2025

Hybrid

Incedo Inc.
Jan 20226 mosJun 2022

Pune District, Maharashtra, India

GitHub
@surajv4059
LeetCode
@suraj12116

Suraj’s AI Stack

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claudecode
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Education

Dr B R Ambedkar National Institute of Technology, Jalandhar

Bachelor of Technology - BTech, instrumentation and control engineering

Dr B R Ambedkar National Institute of Technology, Jalandhar

20184 yrs2022

10+2

Spring Dale senior secondary public school

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Headline

Backend & Data Infrastructure Engineer | Serverless Data Platforms | Distributed Systems | Large-Scale Analytics Pipelines | AWS Lambda • DynamoDB • S3 • Node.js

About

Backend engineer focused on large-scale data processing and serverless distributed systems. Currently contributing to an analytics platform that processes billions of records daily using AWS Lambda, DynamoDB, and S3. My work has involved optimizing aggregation pipelines, reducing distributed lock contention, debugging large-scale memory bottlenecks, improving throughput, and building highly parallel processing workflows. I enjoy solving performance, scalability, and reliability problems and am actively deepening my understanding of algorithms, distributed systems, system design, and backend engineering.

Location

Pune District

AI stack

codex

opencode

claudecode

Work experience

Software Consultant at Morphient, Mar 2025 - Present · 1 yr 6 mos, Remote, Contributed to a serverless analytics platform processing billions of records through highly parallel AWS Lambda-based workflows. Optimized aggregation pipelines by replacing HashMap-based processing with AVL-tree-backed structures, eliminating a dedicated sorting phase. Reduced distributed lock contention by redesigning DynamoDB semaphore wake-up logic, significantly lowering database load and unnecessary retries. Investigated and resolved large-scale memory bottlenecks by analyzing object memory amplification and redesigning serialization strategies. Implemented throttling mitigation techniques including batching and randomized jitter to improve stability during large-scale S3 write operations. Improved file-association workflows by replacing quadratic lookup logic with indexed hash-based access patterns.

Software Engineer at Incedo Inc., Jul 2022 - Mar 2025 · 2 yrs 9 mos, Hybrid

Software Engineer Intern at Incedo Inc., Jan 2022 - Jun 2022 · 6 mos, Pune District, Maharashtra, India

Education

Bachelor of Technology - BTech, instrumentation and control engineering, Dr B R Ambedkar National Institute of Technology, Jalandhar

10+2, Spring Dale senior secondary public school

Public links

github: https://github.com/surajv4059

leetcode: https://leetcode.com/suraj12116

Suraj Verma - Software Consultant in Pune District | Tal