Aditya K

Software Engineer

Patna, Bihar, India3 yrs 7 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Designed scalable microservices on AWS EKS.
Achieved 97% accuracy in data processing pipelines.
Led a team to enhance user engagement by 200%.

Stackforce AI infers this person is a Backend Developer with expertise in Fintech and SaaS solutions.

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Skills

Core Skills

Backend DevelopmentCloud DeploymentData EngineeringAlgorithm DesignData AnalysisMicroservices ArchitectureMicroservices DevelopmentSecurity EngineeringUser EngagementFrontend DevelopmentWeb Development

Other Skills

AWS EKSAWS LambdaAmazon Web Services (AWS)Anomaly detectionBootstrapC/C++Cascading Style Sheets (CSS)Data Structure and AlgorithmDigital OceanDijkstra’s algorithmDjangoDockerExpressExpress.jsFast API

About

I have almost 2 years of full-time experience, during which I have developed multiple microservices and deployed them using Docker on AWS EKS. I have primarily worked with Golang, Python, PostgreSQL, Redis, and many more. I have hands-on experience in database and API design, from coding to testing and deployment. Additionally, I am a top contributor at my current organization with over 2000 commits. I also have experience with the MERN stack from my internship and possess a strong command of DSA and computer science fundamentals. I am interested in and open to an interview in the software engineering field. Connect with me at: Twitter: https://twitter.com/ItzAditya14

Experience

3 yrs 7 mos

Total Experience

1 yr 2 mos

Average Tenure

1 yr 7 mos

Current Experience

Ivy homes

SDE-1

Nov 2024 – Present · 1 yr 7 mos · Bengaluru, Karnataka, India · On-site

Designed and deployed a large-scale Pub/Sub pipeline combining OpenAI APIs, local LLMs, and prompt engineering to extract, normalize, and unify real-estate data from multiple sources, processing over 1B records efficiently.
Engineered a real-time, graph-based site visit scheduling system using Dijkstra’s algorithm, optimizing route selection and slot allocation to eliminate conflicting meetings, thereby boosting sales agent efficiency and increasing completed visits by 10%.
Developed Churn Assignment and Duplicate Detection pipelines leveraging anomaly detection and
Union-Find clustering, achieving 97% accuracy and significantly reducing manual validation effort.
Ensured full data consistency between Zoho CRM and PostgreSQL via a Pub/Sub architecture and
automated cron jobs, eliminating data sync issues across all product lines.
Self-hosted and scaled n8n workflows integrated with PostgreSQL and Redis to power asynchronous, event-driven automation, ensuring 100% real-time communication flow with 99.99% system availability.
Optimized Redis caching and eviction using Django mixins, reducing API latency by 98% while maintaining
100% data freshness across services.
Mentored junior developers on backend architecture, cloud deployment, and performance tuning,
enhancing team productivity and delivery quality.
Collaborated with Product and QA teams to ensure alignment of technical design with business goals, resulting in timely and reliable feature rollouts.

PostgreSQLOpenAI APIsDijkstra’s algorithmRedisDjangoPub/Sub architecture+2

Nucash money

Backend Engineer

Feb 2023 – Nov 2024 · 1 yr 9 mos · Mumbai, Maharashtra, India · Remote

Led a team of four to design and build a chat-based loan application microservice supporting multiple
lender integrations that enable loan disbursement within 30 minutes. Deployed a Dockerized version
on an AWS EKS cluster using Helm charts.
Built an account opening fraud detection system in Golang that checks user’s geo-locations, face match,
face liveness, unique devices, and money laundering activities, reducing fraud by 99%.
Developed a reward microservice for referrals, transactions, accounts, and minimum balance using SNS,
SQS, cron job, and factory pattern that improved user engagement and retention by up to 200%.
Built a maintainable Golang microservice for buying and selling digital gold using dependency injection
and used TimescaleDB for historical price graphs, and deployed a Dockerized version on AWS EKS
cluster using Helm charts, achieving 100+ transactions within first 3 months.
Developed gRPC client and gateway for multiple microservices, including User Management, Bank
Account, Payment, Gold Management etc for efficient interservice communication in Golang and Python.
Optimized debit card load response time by 90% through the implementation of Redis and concurrency
in Python and also reduced bugs by 99% across database management, account creation, KYC verification,
document uploads, and many more, resulting in improved system reliability and user experience.

GolangDockerAWS EKSRedisTimescaleDBgRPC+2

Springwood.

SDE Intern

May 2022 – Aug 2022 · 3 mos · Bengaluru, Karnataka, India

> Revamped website using React, Node, and Express and deployed on Digital Ocean on Nginx
Server.
> Integrated many APIs such as Pipedrive, Iterable, Calendly, and MoEngage in Python and deployed code on AWS Lambda and also build Chrome Extension using Javascript for automation of Google Tag Manager.

ReactNode.jsExpressDigital OceanNginxAWS Lambda+2