Vishal Agarwal

Software Engineer

Gurugram, Haryana, India7 yrs 3 mos experience

AI ML PractitionerHighly Stable

Key Highlights

6+ years of experience in backend engineering.
Expertise in microservices and high-throughput APIs.
Proven track record in performance optimization.

Stackforce AI infers this person is a Backend Engineer with expertise in Fintech and Healthtech industries.

Contact

vishal.agarwal@syfe.com LinkedIn

Skills

Core Skills

JavaMicroservicesPythonDatabase Design

Other Skills

WebSocketAmazon Web Services (AWS)CaffeineDistributed SystemsApache KafkaHevoKotlinSSEDatadogAmazon RedshiftCassandraObject-Oriented Programming (OOP)CursorClaude CodeREST APIs

About

Backend Engineer with 6+ years of experience building high-scale distributed systems using Java, Kotlin, and Spring Boot. Expertise in microservices architecture, high-throughput APIs, caching, and distributed data systems supporting 3000+ RPS workloads. Experienced in observability, performance optimization, and AI-powered backend automation.

Experience

7 yrs 3 mos

Total Experience

2 yrs 2 mos

Average Tenure

9 mos

Current Experience

Syfe

SDE 2

Aug 2025 – Present · 9 mos · India · Remote

1. Optimized caching, data structures, and DB queries, reducing CPU usage by ~28% and I/O by ~65%.
2. Built a scalable archival system to migrate billions of rows across multiple tables while ensuring no degradation in RDS performance, CPU utilization, or application memory.
3. Reduced the deployment time of one of the service from 15mins to under 2min by reducing the docker image size.
4. Reduced MTTR by ~80% through custom Claude Code automation skills integrating Datadog MCP and internal knowledge base, enabling faster L1 incident investigation.
5. Improved real-time market data delivery by replacing Server-Sent Events with WebSockets, supporting 20K+ securities updates for 100K+ users.

WebSocketAmazon Web Services (AWS)CaffeineDistributed SystemsApache KafkaHevo+25

Pharmeasy

Senior Software Engineer

Dec 2021 – Aug 2025 · 3 yrs 8 mos · Bengaluru, Karnataka, India · Hybrid

1. Led a team of 2 engineers to build an AI-powered Gemini pipeline detecting CS vs Live report issues, reducing manual effort by 93%.
2. Led a 4-member cross-functional team (2 Dev, 2 QA) to design a unified returns service supporting B2B, B2B2B, and B2C on a single scalable backend.
3. Built a high-performance subscription framework (<50ms latency, <0.02% error rate).
4. Spearheaded observability upgrades, achieving 0 downtime in 6 months and reducing RDS CPU by 20%.
5. Architected & Built a scalable and extensible offer engine (200+ concurrent offers, 3K+ RPS, <100ms latency).
6. Designed a high-throughput file ingestion system processing 10M+ records/day, and contributed to Cyborg (consumer widget platform).

PythonJenkinsAmazon Web Services (AWS)Distributed SystemsApache KafkaDatabase Modeling+26

Optum

Associate Software Engineer

Jul 2019 – Dec 2021 · 2 yrs 5 mos · Greater Noida

1. I was responsible for designing database schema and microservices to make the application scalable and extensible.
2. Improved the performance of the APIs by 90%.
3. Split the old legacy monolithic application to maintainable microservices.

Microsoft SQL ServerApache KafkaMongoDBMultithreadingObject-Oriented Programming (OOP)C#+9

Binplus technologies pvt. ltd.

Python & Django Mentor

May 2019 – Jun 2019 · 1 mo · Jhansi

From touching the basics of Python to the deployment of the basic Web App that's what I covered in the one and a half month of the training.
The main focus of the training was teaching the workflow of the products and optimization.

Project ManagementApplication Programming Interfaces (API)

Jhansi tehsil(government work)

Product Engineer & Lead Developer

Jul 2018 – Sep 2018 · 2 mos · Jhansi

The Jhansi Government faces issues while managing the land documents on the paper. So, I have designed the system for them and along with my friends @Akash Shukla & @Akash Giri we have successfully developed & deployed the whole system for the Jhansi Tehsil.
The technologies we have used are:
1. Django (a Python-based web development framework)- For designing the business logic, mapping the URLs, migrating the database.
2. PostgreSQL (an Open Source Relational Database)- For managing the land details, owner details, government norms, etc.
3. Real-time database(Firebase): For Authentication & Authorization.
4. Bootstrap: To design the UI of the application.
5. Digital Ocean (To deploy the system)
Challenges:
1. Understanding the requirements and then pitching the ideas to the Magistrate.
2. Managing the scale of the application.

Project ManagementApplication Programming Interfaces (API)