About Me
I focus on building backend systems that power meaningful experiences. My work revolves around designing APIs, managing data, and ensuring applications scale efficiently under pressure. I thrive on solving challenging technical problems and continuously learning new tools. Off the clock, I enjoy gaming, tech exploration, and investment strategies.
Skills
Languages
Golang
JavaScript
TypeScript
Python
Solidity
C
Java
Dart
SQL
Java
SQLTechnologies
Rest/Graphql
gRPC
Protobufs
Serverless
Docker
Kubernetes
Github Actions
Bitbucket
Asana
Jira
Protobufs
BitbucketFrameworks/Libraries
Next.js
gRPC (HTTP/2)
Gin
Express
Flutter
QUIC (HTTP/3)
Mqtt
Lang Chain
Gin
Express
QUIC (HTTP/3)Databases
Oracle
PostgreSQL
MongoDB
Redis
Pinecone
PineconeWork Experience
- •Developed integrations with cBroker WebService API (REST) and ManagerAPI (Protobufs) to monitor 2,000+ traders' active balances concurrently in Golang, enabling real-time banning and liquidation of open positions.
- •Designed and implemented APIs to retrieve trader information from cBroker APIs for the internal dashboard.
- •Provisioned and managed AWS infrastructure using AWS CDK, ensuring scalable and reliable deployment environments.
Projects

- A SaaS platform offering Zapier-like workflow automation enables complex integrations across services such as Gmail, Slack, and Discord, while uniquely supporting automatic generation and scheduling of custom backend integrations alongside public and private ones. It is built on a microservice architecture using Golang for lightweight, high-concurrency APIs and Python for multi-agent workflows with LangGraph and code generation, leverages efficient smaller LLMs like Gemini-2.5-Flash, and provides a responsive Next.js web application interface.

- A neuroimaging research project exploring the transition from brain tumor segmentation to generative AI for synthetic brain MRI generation. The work begins with deep learning–based tumor segmentation and pivots to addressing data scarcity and privacy challenges using Variational Autoencoders (VAEs) and Wasserstein GANs (W-GANs). The resulting synthetic MRIs demonstrate strong potential for data augmentation and improving the robustness of downstream tasks such as tumor detection and segmentation.

- OpenFlare is an open-source network security platform featuring a proxy server integrated with a machine learning (ML) model and Redis cache. The proxy handles concurrent client requests, while the ML model classifies packets as malicious or benign in real-time. Redis blocks IPs linked to malicious activity temporarily. The system logs packet data for analysis and model improvement, offering scalable DDoS detection and threat mitigation. It emphasizes server-side security through ML-driven filtering, IP blocking, and efficient packet forwarding, and runs on Docker for flexible deployment.

- A blockchain-based project involving the creation and launch of an ERC20 token that raised $21,000 through an ICO, complemented by a farming game designed to provide real token utility and adopted by 30% of token holders. The project focused on driving long-term engagement and sustained on-chain activity beyond speculative use. It showcased hands-on experience in smart contract development, tokenomics design, and community-driven product adoption.

Gemini
Deep Learning
OpenCV
MONAI
Machine Learning
ERC20
React