Available for new opportunities

Senior Software Engineer
Distributed Systems
AI Evaluation.

Software Engineer specializing in distributed systems, cloud-native infrastructure, AI evaluation workflows, and scalable backend platforms using Python, React, Spark, Kafka, Airflow, and AWS.

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Technical Arsenal

The tools I use to turn problems into products.

Backend & Distributed Systems

  • Python, APIs & Async Workflows, Observability
  • Apache Spark, Kafka, Distributed Processing
  • Streaming Systems, Airflow Orchestration

Cloud & Platform Engineering

  • AWS, Docker & Kubernetes
  • CI/CD Pipelines, Terraform
  • GitHub Actions, Cloud Automation & Jenkins

Full-Stack

React JavaScript FastAPI SQL REST APIs Operational Dashboards Monitoring Interfaces

Data & Databases

Capable of handling complex data pipelines and storage solutions. From raw data processing with Pandas/NumPy to storing efficiently in PostgreSQL, MongoDB, or Oracle XE.

Deployment

Docker
AWS
Streamlit
CI/CD

Experience

Senior Software Engineer & AI Evaluation Specialist

2025 – Present
Pioneer Solutions

Built scalable backend systems, operational tooling, and distributed workflows using Python, React, SQL, and AWS cloud services. Worked on AI-assisted engineering evaluation workflows involving APIs, debugging systems, asynchronous execution, and cloud-native architectures. Improved workflow automation, telemetry visibility, monitoring systems, and platform reliability across distributed engineering environments.

Full-Stack Software Engineer

2023 – 2025
Cybersoft Technologies

Developed scalable APIs, operational dashboards, distributed workflows, and cloud-native systems using React, Python, Spark, Kafka, Airflow, and AWS. Built monitoring systems, workflow orchestration pipelines, and backend automation tooling supporting large-scale operational data processing.

Frontend & Distributed Systems Engineer

2021 – 2023
Zognu

Built frontend operational interfaces, distributed backend workflows, and cloud-native automation systems using React, Python, Spark, and AWS cloud services. Improved monitoring visibility, telemetry systems, and operational reliability across distributed engineering environments.

Featured Projects

Selected works blending AI with intuitive interfaces.

AI Code Evaluation Workflow

AI Engineering & Software Validation

Developed AI-assisted software evaluation workflows for validating and benchmarking large language model generated code across backend, frontend, and distributed systems environments. Built structured testing pipelines for APIs, asynchronous workflows, debugging, cloud-native systems, and full-stack engineering tasks while improving evaluation reliability and workflow automation.

Python JavaScript React AWS API

Cloud-Native ETL Platform

Distributed Data Engineering

Designed and implemented a scalable cloud-native ETL/ELT platform for ingesting, transforming, validating, and processing large-scale operational and analytics datasets across distributed cloud environments. Built batch and streaming pipelines with Spark, Airflow, Redshift, Glue, and AWS services while optimizing reliability, orchestration, and distributed workload performance.

Python Spark Airflow AWS Redshift

Distributed Monitoring Platform

Observability & Operational Analytics

Built a distributed monitoring and observability platform for collecting, processing, and visualizing telemetry from backend services and operational workflows. Developed real-time ingestion pipelines, backend APIs, alerting systems, and operational dashboards improving infrastructure visibility, troubleshooting, and system reliability.

Kafka Python React CloudWatch Docker

React + FastAPI Operational Dashboard

Full-Stack Cloud Platform

Developed a full-stack operational dashboard platform enabling workflow monitoring, operational analytics, and backend management across distributed systems. Built scalable FastAPI backend services, real-time React interfaces, API integrations, telemetry systems, and role-based operational workflows supporting cloud-native infrastructure environments.

React FastAPI Python AWS SQL

Real-Time Kafka Streaming Pipeline

Event-Driven Streaming Architecture

Built a real-time event-driven processing pipeline using Kafka, Spark Streaming, Python, and AWS cloud services for scalable operational analytics and distributed workflow processing. Implemented streaming ingestion, transformation, enrichment, checkpointing, and telemetry systems while optimizing throughput, scalability, and fault tolerance.

Kafka Spark Streaming Python AWS Docker

Ready to build something intelligent?

I'm currently looking for new opportunities to apply my skills in Machine Learning and Full-Stack development. Whether you have a question or just want to say hi, I'll try my best to get back to you!

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