Greetings!

Welcome to my professional showcase!

Introduction

Allow me to offer a glimpse into who I am.

My name is.....

Shreya Shashank

Software Engineer @
- Specializing in high-performance distributed systems and AI platforms







I am a Software Engineer at Pine Labs, deeply interested in building resilient, scalable backend architectures and distributed systems. From high-throughput transaction engines to AI-driven developer platforms, I leverage modern technology to solve complex engineering challenges.

"For me, programming is where I'll be able to use those majestic capabilities🪄 of the computer to make useful and wholesome features/programs for the world and myself."

Technical Arsenal


.NET
C#
SQL Server
RabbitMQ
Apache Pulsar
Redis
Docker
ELK Stack
FastMCP
Python
Flutter
Dart
SOLID
MVC
DDD
REST API
LLM Agents
MCP
Flask
Selenium
TensorFlow
Keras
Deep Learning
Neural Networks
Firebase
Blockchain

Foundational Journey


Class 8th

My school introduced me to HTML...was fascinated by the fact that we can make our own websites...hence I went on to Codecademy to grab knowledge about HTML.

Class 10th

I took part in an inter-school group animation competition and discovered the world of animation through Adobe Flash CS5 Professional and enjoyed its powerful capabilities in making nice frame-by-frame animations !!

Class 11-12th

I was introduced to C++....it was super awesome knowing how things worked behind the scenes and how every instruction has to be spoon-fed to the computer to make it work in the way we want it to.

Projects


PineLens | Enterprise Knowledge Agent
Built an Internal Developer Platform (IDP) agent using the Model Context Protocol (MCP) to unify engineering knowledge. Integrated JIRA, Bitbucket, and SQL Server to enable natural language querying of sprint history and metrics.
PythonFastMCP.NET SDKLLM AgentsMCP
View Project
NASA Voyager Mission Status API
Developed a Flask RESTful API to retrieve real-time data of Voyager 1 and 2 missions. Scraped 18 instrument metrics using Selenium WebDriver, achieving an efficient 240ms response time.
PythonFlaskSeleniumREST APIScraping
View Project
UrbanSound8K Audio Classifier
A TensorFlow model for classifying audio samples from the UrbanSound8K dataset using the Librosa library. Features a streamlined workflow and comprehensive data analysis for high accuracy.
TensorFlowKerasLibrosaPythonDeep Learning
View Project
BackPropAgora
From-scratch implementation of the Backpropagation algorithm to visualize and understand neural network training mechanics using GraphViz and Python.
PythonGraphVizNeural NetworksApplied ML
View Project
Cipher Pay
Prototype app for Crypto Asset Management and Hybrid Payment Interface. Designed for the GFG Solve for India Hackathon to simplify crypto transactions.
FlutterDartFirebaseBlockchain
View Project

Experience




Pine Labs Pvt. Ltd., Bangalore

Software Engineer

November'25 – Present

Bangalore, India

  • Integrated Polly Circuit Breakers with exponential backoff to prevent cascading failures in downstream gift card services, ensuring system stability.
  • Implemented a Force Logout mechanism for distributed clusters using Redis Pub/Sub and SignalR to ensure sub-second revocation when passwords are changed.
  • Enforced TLS 1.2/1.3 protocols and upgraded dependencies for PCI-DSS compliance during VAPT remediation.
  • Migrating critical microservices from .NET Core 2.1 to .NET 8, refactoring DI containers to ensure security and performance.
  • L3 Production Support: Coordinating with L3 Engineering Support for the core transaction engine; conducted RCA on critical SQL Server spikes and optimized complex stored procedures.
  • Contributed to the development of a real-time Observability Pipeline using Serilog, ELK Stack, and Grafana.
.NETSQL ServerRabbitMQApache PulsarRedisELK StackDocker
Deployed Link

Pine Labs Pvt. Ltd., Bangalore

Software Engineer Intern

September'24 – October'25

Bangalore, India

  • Worked with the development of a fault-tolerant bulk transaction system for Amazon handling 500+ TPS and processing ₹23,000 Cr+ ($2.7B+) annually using Consistent Hashing.
  • Optimized bulk transaction processing using RabbitMQ and chunking, improving system efficiency for gift card APIs handling 10K+ transactions/day.
.NET CoreMVCC#RabbitMQSOLIDAWS
Deployed Link

Training and Placement Department, KIIT

Full Stack Developer Intern

September'23 – August'24

Bhubaneswar, Odisha, India

  • Built the 'Koncat' placement portal using Google Cloud Functions (FaaS), scaling to support 2,000+ concurrent users with 99.9% availability.
  • Optimized Firebase Firestore composite indexes, reducing data retrieval latency by 60% for multi-parameter recruiter filters.
  • Architected and developed cross-platform applications using Flutter for efficient student profiling.
FlutterFirebaseGoogle Cloud FunctionsFaaS
Deployed Link