Akshay Agarwal

Software Engineer

Mumbai, Maharashtra, India3 yrs 11 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Developed a digital lending platform serving 25K+ daily users.
Architected scalable microservices for high transaction volumes.
Achieved 96% accuracy in price prediction models.

Stackforce AI infers this person is a Fintech Full-Stack Developer with expertise in AI and microservices.

Contact

akshayba2803@gmail.com LinkedIn

Skills

Core Skills

Full-stack DevelopmentMicroservicesArtificial Intelligence (ai)Backend DevelopmentChatbot DevelopmentData Science

Other Skills

API DevelopmentAPIsAWSAWS LexAlgorithmsAmazon Web Services (AWS)Back-End Web DevelopmentBackendBeautiful-soupBuilding PerformanceC (Programming Language)CI/CDCascading Style Sheets (CSS)CassandraCode Review

About

I am a software engineer at Apollo Finvest, a leading NBFC that simplifies lending. I completed my bachelor's degree from the Indian Institute of Technology, Kanpur, where I have gained in-depth knowledge of data structures and algorithms. I am passionate about solving complex problems using cutting-edge technologies and applying data-driven approaches to optimize performance and user experience. I have refined my skills in various programming languages, including C++, C, Python, Java, Kotlin, and Ruby, and have a strong foundation in full-stack development. I have successfully completed diverse projects in this domain, such as developing a user-friendly chat-bot on AWS Lex, a price prediction model using regression algorithms, and a data monetization product for retail brands.

Experience

3 yrs 11 mos

Total Experience

1 yr 3 mos

Average Tenure

2 yrs 4 mos

Current Experience

Apollo finvest

Software Engineer

Feb 2024 – Present · 2 yrs 4 mos · On-site

Built and launched a digital lending platform using Java, Spring Boot, React.js, and AWS, with 30+ RESTful APIs for onboarding, KYC, and loan management — achieving latency under 150 ms and serving 25K+ daily users
Architected scalable microservices with Kafka-based event-driven architecture, powering the Line of Credit system that supports 50K+ daily transactions and integrates with 10+ fintech partners.
Implemented per-user and per-IP rate limiting using Redis, and enhanced session security using short-lived JWTs with refresh token rotation, securely stored in the device keychain.
Built a high-performance in-memory, full-text search application in Python using inverted index data structure, enabling rapid and flexible data queries across loan data and supporting 100K+ searches per week
Implemented optimistic locking, ensuring safe concurrent updates from multiple Lambda functions, preventing data loss during simultaneous write operations
Implemented CI/CD pipelines with GitHub, Docker, and AWS ECR for automated, zero-downtime deployments
Reduced AWS cost by 20% by migrating legacy databases from RDS to EC2 instances, optimizing AWS Batch for efficient workload processing and improving resource utilization and operational efficiency
Designed and deployed a GPT-based sentiment analysis system, automating analysis of over 20K voice interactions per day, leveraging Python, reducing manual effort by 98% and enhancing customer experience

JavaSpring BootReact.jsAWSRESTful APIsKafka+5

Cogoport

Software Engineer

Jun 2023 – Feb 2024 · 8 mos · Gurugram, Haryana, India · On-site

Developed an Automated Manifest System from scratch, utilizing Kotlin & Micronaut framework that track status update for shipments, enhancing operational transparency
Designed and implemented backend for CogoStore, a merchandise store for company 1000+ employees and linked it to the payroll system for managing payments through salary.
Created a performance rating system to be used by managers to publish ratings and trigger mails to employees
Designed and implemented Job closure and CogoBooks, a dashboard which helps to track overall P/L, status, shipment wise P/L of all financially job closed shipments
Implemented multiple APIs and their corresponding test cases from scratch for an advanced booking dashboard

KotlinMicronautAPIsBackend Development

Anycover

Software Engineer Intern

Mar 2022 – Jul 2022 · 4 mos

Developed a user friendly chat-bot from scratch on AWS Lex & built AWS lambda function for it using NodeJS
Established connection between chat-bot & PostgreSQL database operated on AWS RDS using sequelize package
Migrated API codes from JavaScript to TypeScript & wrote test cases for testing API on various user inputs
Developed an extended warranty price prediction model using various regression algorithms & achieved 96% accuracy
Aggregated extended warranty price data by web scrapping using Beautiful-soup & used it for training pricing model
Utilized numpy, pandas & matplotlib libraries to get useful insights like number of clicks, load from the metrics data

AWS LexNodeJSPostgreSQLTypeScriptRegression AlgorithmsBeautiful-soup+4

Urvija ai pvt. ltd

Data Monetization Intern

May 2021 – Jul 2021 · 2 mos · Bengaluru, Karnataka, India

Leverage data to frame business & product requirement documents using various data monetization techniques
Performed market research of various Retail brands to understand the current scenario and customer shopping trends
Deployed ML algorithms to analysis the plausible changes in the retail brand strategies increasing the revenue outcomes
Compiled technical and non-technical requirements along with design and architecture of the product
Appreciation: Offered to continue work-relationship, revenue shares in the end product & LOR for higher studies