SUBHADEEP CHANDRA

Senior Software Engineer

West Bengal, India6 yrs 9 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expertise in AI solutions and systems infrastructure.
Proven track record in reducing latency and optimizing costs.
Strong foundation in software development and backend systems.

Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in Fintech and AI solutions.

Contact

Skills

Core Skills

JavaRest ApisAwsReact.jsPython

Other Skills

A/B TestingAlgorithmsAmazon Web Services (AWS)Artificial Intelligence (AI)C (Programming Language)C++Code ReviewCoding StandardsCompetitive ProgrammingComputer ScienceData StructuresDesign PatternsDistributed SystemsDjangoDjango REST Framework

About

LinkedIn leverages expertise in systems infrastructure and AI solutions to facilitate seamless integrations and improve platform efficiency. As a Senior Software Engineer, contributions include enhancing backend systems with cutting-edge tools like QDrant and AWS resources, ensuring scalability and performance optimization. Previous experience at AlphaSense and Amazon enabled impactful contributions to AI and payments technologies, including reducing latency and optimizing costs. With a strong foundation from NIT Durgapur, professional goals center around creating innovative, reliable, and scalable technology solutions that empower businesses and users.

Experience

6 yrs 9 mos

Total Experience

1 yr 10 mos

Average Tenure

1 yr 2 mos

Current Experience

Senior Software Engineer

Apr 2025 – Present · 1 yr 2 mos · Bengaluru, Karnataka, India · On-site

Systems Infrastructure

Alphasense

SDE 2

Mar 2024 – Apr 2025 · 1 yr 1 mo · Bengaluru, Karnataka, India · Hybrid

Working in AI & Vector Search team.
Added backward compatibility support for Vespa migration for enterprise environments
Dealt with split-brain issues
Worked on binary quantization performance testing
Created API which acts as an abstraction for the vector search service, which is used to query and filter points in QDrant collections
Created an automated job to keep the docs in SOLr and QDrant in sync
Added functionality to create collection and retrieve points based on company ids for user docs
Deprecated vector-builder service and migrated the logic to vector-indexer, reducing the latency by 5% and saving around $100 per month
Removed hit content call and added logic to reduce the hybrid search service latency

Software Development Life Cycle (SDLC)JavaEnterprise SoftwareREST APIs

Amazon

SDE

Oct 2021 – Mar 2024 · 2 yrs 5 mos · India · On-site

Worked at rewards team in India payments organization of Amazon.
Migrated APay Later, Bills & FSP(Financial Service Payments), CBCC, Corporate GC, Retail, LPA Online, LPA Offline, Merchant Categories, Money Transfers, Prime, Prime Young Adult, Smart Stores, UPI Registration, UPI P2M and other clients to Funder Console.
Integrated MPSS with Rewards Console backend as part of Funder Console migration.
Designed and implemented solution for tiered and incremental rewards for Login and Pay with Amazon.
Added data tiering for elatsicache which helped reduce the cost from $18080.64 to $1905.30, saving around $16175.34 per month.
Created an event logging system to be used as an ingress to train ML models to issue Scratch cards.
Designed and implemented device and client agnostic intent-based coupon issuance logic because of which 36000 customers received intended coupons and reduced the number of VOCs.
Worked as an away team member for HRBP team and boarded their NudgePlatform to Secure Enabled Logging and migrated the entire code base to CDK 4.0.
Designed and implemented intent-based issuance for Scratch card for which 45% of the users received better scratch cards
Took part in 400+ code reviews
Took part in 20+ interviews