Portfolio

Hello, I’m Sohail Shaik

I’m a Software Engineer

Portrait of Sohail Shaik

About Me

I’m a Software engineer focused on building scalable, resilient systems and AI-powered developer platforms. I’ve designed high-concurrency APIs, real-time WebSocket services, and RAG pipelines, and I enjoy solving hard problems across infra, data, and developer experience. Recently I’ve been architecting agents for resume/code analysis, tightening CI/CD, and pushing observability to ship faster and safer.

Present

I’m currently a Software Engineer at OmniqAI (Jan 2025– Dec 2025), working on Python/FastAPI, async, RAG, agents, and Kubernetes on AWS. I’m open to collaborations and interesting Software/AI infra problems—let’s build.

Skills

Experience

OmniqAI

Software Engineer

January 2025 – December 2025

  • Architected high-concurrency async APIs (FastAPI) and real-time WebSocket services for distributed workloads.
  • Built RAG + semantic pipelines and vector search to power intelligent decision support.
  • Developed autonomous interview agents: resume parsing, behavioral analysis, code evaluation, multi-step reasoning with memory.
  • Optimized PostgreSQL/MongoDB/Redis (pooling, caching, schema migrations) with zero-downtime deploys.
  • Migrated infra to Kubernetes on AWS; Dockerized workloads; Helm; HPA; secured VPC.
  • Implemented queues and async workflows (Redis/RabbitMQ).
  • CI/CD with GitHub Actions (zero-downtime releases, automated tests/migrations), cutting deploy time ~40%.
  • IaC with CloudFormation across EKS/EC2/VPC/IAM/S3/Secrets Manager.
  • Full observability: Prometheus, Grafana, central logging, distributed tracing.
  • Reduced infra costs ~20% while improving resilience; led incident response & performance tuning.

OmniqAI

Software Engineer Intern

August 2024 – December 2024

  • Built/maintained Python microservices and production REST APIs.
  • Shipped monitoring/alerting with Prometheus/Grafana, cutting MTTD ~30% and improving response times.

Projects

Traceable systems and AI platforms in production.

TraceFox AI

AI-Powered Code Review & Test Platform

  • End-to-end quality workflow orchestrated with FastAPI: webhooks, modular services, pipeline eventing for PR analysis, test generation, RCA, compliance, drift detection.
  • API gateway + dynamic service registry; retries/circuit breakers; structured event bus for decoupling.
  • Automated GitHub repo onboarding (clone/index), async task tracking, persistent state.
  • AI review & test generation with DeepSeek R1 and Gemma-3 27B-IT; deterministic JSON parsing; fallbacks; intelligent caching.
  • Next.js dashboard: real-time review data, test artifacts, RCA correlation, drift/compliance views.
  • Multi-cloud deploy with Docker Compose + Terraform; secure token/session; end-to-end logging.
PythonFastAPINode.jsNext.jsRedisPostgreSQLSQLiteTerraformDockerGitHub APILLMs