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LAKSHYA BENGANI

Immediate Joiner| SDE 2 at Amazon| SDE intern at Amazon’22 | Ex Summer Intern at Deutsche Bank | Student at Jadavpur University

Greater Bengaluru Area

5+ years of work experience

Amazon
Jun 20242 yrs 3 mosPresent

Amazon
Jul 20222 yrsJun 2024

Amazon
Jan 20226 mosJun 2022

Deutsche Bank
Jun 20212 mosJul 2021

Millow
Jul 20202 mosAug 2020

Bengaluru, Karnataka, India

Jun 20202 mosJul 2020

Bengaluru, Karnataka, India

LAKSHYA’s AI Stack

anthropic apis
anthropic apis
claude code
claude code
codex
codex
cursor
cursor
github copilot
github copilot
langchain
langchain

Education

Jadavpur University

Bachelor's degree, Information Technology

Jadavpur University

20184 yrs2022

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Headline

Immediate Joiner| SDE 2 at Amazon| SDE intern at Amazon’22 | Ex Summer Intern at Deutsche Bank | Student at Jadavpur University

About

Software engineer with 3+ years building large-scale distributed systems — currently focused on the intersection of platform engineering and applied AI. Most of my work lives in the layer other engineers build on top of: high-throughput backends (10–30K TPS), authentication platforms gating hundreds of services, ingestion pipelines that multiple teams depend on, and pricing simulation systems where a small accuracy gain quietly unlocks entire roadmaps. Lately I've been obsessed with what LLMs and agents can do for developer workflows. I've shipped an MCP server that lets product teams semantically search and execute internal APIs without filing tickets, and a CLI-driven migration agent that has modernized 30+ repositories across Java, Kotlin, and Spring Boot upgrades. The premise is simple: most engineering time goes into discovery, integration, and migration — and that's exactly where agents are finally good enough to compress effort by 10x. Day-to-day I work across Java, Kotlin, Spring Boot, Python, TypeScript, AWS, and Kubernetes — but I care less about the stack and more about whether the system makes the next engineer's job easier. Also have worked on some amazing personal projects and wrote a few Medium articles.

Location

Greater Bengaluru Area

AI stack

anthropic apis

claude code

codex

cursor

github copilot

langchain

Work experience

SDE 2 at Amazon, Jun 2024 - Present · 2 yrs 3 mos

SDE at Amazon, Jul 2022 - Jun 2024 · 2 yrs

SDE at Amazon, Jan 2022 - Jun 2022 · 6 mos

Technical Analyst at Deutsche Bank, Jun 2021 - Jul 2021 · 2 mos

Back End Developer at Millow, Jul 2020 - Aug 2020 · 2 mos, Bengaluru, Karnataka, India

Back End Developer at TitanDLT, Jun 2020 - Jul 2020 · 2 mos, Bengaluru, Karnataka, India

Education

Bachelor's degree, Information Technology, Jadavpur University

LAKSHYA BENGANI - SDE 2 in Greater Bengaluru Area | Tal