Software Engineer @ Investlytics

Piyush Pandey

I build |

Software Engineer crafting scalable microservices, high-performance APIs, and clean backend architectures.

0+ Problems Solved
0+ Projects Built
0 Work Experiences
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Every great system begins
with a better architecture

Software Engineer experienced in building scalable microservices with Spring Boot, RESTful APIs, and PostgreSQL. Skilled in Spring Security, JPA/Hibernate, and deploying containerized services using Docker with basic AWS knowledge.

Passionate about backend architecture, testing, and API performance optimization. I've used Kafka for asynchronous communication to improve system throughput by ~30% (self-measured), streamlined Docker/Kubernetes deployments to cut deployment time by ~60% (self-measured), and built secure authentication systems from the ground up.

B.Tech in Computer Science from ABES Engineering College.

Performance

~30% higher throughput (Kafka)

Security

JWT & Spring Security

Cloud-Ready

~60% faster deployments (Docker/K8s)

PiyushPandey.java
public class PiyushPandey {
  private String role = "Software Engineer";
  private String[] stack = {
    "Java", "Spring Boot",
    "PostgreSQL", "Docker"
  };
  private boolean available = true;

  public String getPassion() {
    return "Building scalable systems";
  }
}

Technical Arsenal

Languages

Java C C++ Dart JavaScript

Frameworks

Spring Boot Spring Security Spring AI Hibernate JPA Node.js React JUnit Mockito

Databases

PostgreSQL MySQL MongoDB Firebase

Cloud & DevOps

Docker AWS EC2 AWS S3 CodePipeline ECR GitHub Actions

Tools

IntelliJ IDEA VS Code Git Maven Postman Swagger UI

Work History

Software Engineer

Investlytics · On-Site

Oct 2025 – Jun 2026
  • Designed and developed scalable RESTful APIs using Java (17/21) and Spring Boot in a microservices architecture
  • Built a production-grade Identity & Authentication Service with JWT-based auth and role-based authorization
  • Implemented secure access control using Spring Security, @PreAuthorize, and structured request validation
  • Designed a schema-based multi-tenant PostgreSQL architecture for advisor-level data isolation
  • Containerized PostgreSQL using Docker and deployed backend services on AWS EC2
  • Migrated project from Java 17 to Java 21 and optimized build lifecycle using Maven
Java 21 Spring Boot Spring Security PostgreSQL Docker AWS EC2

Java Developer

Oscillate Technologies

Apr 2025 – Sep 2025
  • Integrated Zerodha trading APIs end-to-end (portfolio retrieval, holdings/positions fetching, order placement), enabling real-time brokerage operations
  • Integrated MF Star APIs for NAV fetching and transaction processing to support advisor-facing portfolio management features
  • Built a JWT + RBAC authentication module securing all API endpoints; delivered production Spring Boot microservices with Hibernate ORM and Swagger/OpenAPI documentation
Java Spring Boot JWT Hibernate Swagger

Backend Developer Intern

ValenceWare · Remote, Part-Time

Jan 2025 – Mar 2025
  • Developed secure Spring Boot REST APIs with JWT authentication and Hibernate ORM
  • Enhanced backend documentation via Swagger UI, reducing onboarding time by 40%
  • Collaborated with frontend team to synchronize RESTful endpoints across microservices
Spring Boot JWT Hibernate Swagger

Featured Projects

Echoe

AI emotional-companion backend on Spring Boot (Java 21) and Docker, backed by PostgreSQL/Supabase, pairing a DeepSeek conversation engine with a Sarvam AI voice pipeline for emotion-aware, voice-first support.

Problem Give people a private, always-available space to talk through emotions by voice or text
Outcome JWT anonymous auth with refresh-token rotation & theft detection, Sarvam AI STT/TTS with emotion-aware tone mapping, real-time crisis-keyword detection with automated helpline surfacing, PIN-protected session vault with tier-based retention, and IP-based rate limiting — deployed on Render
Spring Boot (Java 21) Docker PostgreSQL Supabase DeepSeek Sarvam AI

Personal Growth OS

AI coaching platform pairing a Spring Boot modular monolith with a FastAPI RAG engine, bridged through a Resilience4j AI gateway (circuit breaker, retry, timeout) for resilient cross-service calls.

Problem Turn fragmented personal-growth knowledge into grounded, retrievable coaching guidance
Outcome DeepSeek responses grounded in a curated knowledge base, a transcript-to-knowledge-base pipeline (spaCy, semantic chunking, LLM extraction, validation, vector indexing), and a custom retrieval evaluation framework measuring precision/recall
Flutter Spring Boot FastAPI Qdrant PostgreSQL Redis

Quiz Application

Microservices-based quiz platform with Netflix Eureka service discovery, secure JWT authentication, and real-time result computation.

Problem Secure APIs and scalable service architecture for a quiz platform
Outcome Production-ready microservices with Eureka service discovery and JWT-secured endpoints
Spring Boot PostgreSQL JWT Netflix Eureka

Real-Time Chat Application

Real-time messaging backend built with Spring Boot and WebSockets, backed by PostgreSQL for persistence.

Problem Low-latency, room-based communication with reliable message delivery
Outcome Sub-100ms message latency with PostgreSQL-backed persistence and room-based chat
Spring Boot WebSockets PostgreSQL

AI Blog Platform

Relational blogging platform with a Spring Boot + Spring Data JPA backend, deployed as a multi-service Docker Compose stack.

Problem Model a relational content domain (Users, Posts, Categories, Tags) with correct lifecycle behavior
Outcome Many-to-many/one-to-many domain model with JPA lifecycle callbacks, running in a Docker Compose stack alongside PostgreSQL and Adminer
Spring Boot Spring Data JPA PostgreSQL Docker Compose

Key Milestones

0

Coding problems solved on LeetCode and GeeksforGeeks focusing on DSA and algorithmic design

0

Backend projects built and deployed using Spring Boot, microservices, and AI integration

0

Recognized internships for backend performance optimization and API scalability improvements

Let's build something
that scales

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