Hello, I'm

Sohail
Shaik

Software Engineer crafting autonomous AI agents, RAG pipelines, and cloud-native infrastructure.

View my CV
Sohail Shaik

Current Role

Founding Engineer

About Me

“

I’m a Software Engineer focused on architecting autonomous agent platforms and full-stack AI generation systems. I specialize in building multi-agent orchestration layers, secure sandboxed execution environments, and scalable cloud infrastructure. Recently, I've been leading the core architecture at Prettiflow, designing foundational systems for autonomous workflows and one-click application deployment.

Agentic AI & LLMs

Architecting multi-agent orchestration layers, RAG pipelines, and autonomous workflow engines using state-of-the-art models.

Backend & Systems

Building high-concurrency async services with FastAPI and distributed message queues like Kafka and RabbitMQ.

Cloud & Infra

Scaling resilient infrastructure on AWS using Kubernetes, Terraform, and automated CI/CD pipelines with full observability.

Technical Skills

AI & LLM
LLMs
RAG
Agentic AI
Agent Orchestration
MCP
Languages
Python
TypeScript
C++
Backend
Node.js
FastAPI
Next.js
PostgreSQL
MongoDB
Redis
Kafka
RabbitMQ
Infra
AWS
Docker
Kubernetes
Terraform
GitHub Actions
Prometheus
Grafana
Linux
Nginx
Git/GitHub

Experience

February 2026 – Present
Prettiflow

Prettiflow

Founding Engineer

  • Architected the core platform for AI-generated full-stack applications and one-click deployment.
  • Built the multi-agent orchestration and multi-model routing layer powering autonomous execution.
  • Designed the platform for secure sandboxed code execution and isolated multi-tenant workspaces.
  • Led development of scalable deployment infrastructure across AWS and automated app provisioning.
  • Built foundational systems for skill-based agents, workspace databases, and real-time platform runtime.
  • Owned platform reliability, DevOps, and core architecture for scalable production systems.
  • Architected extensible skill systems for structured planning and complex autonomous workflows.
TypeScriptNext.jsAWSDockerLLMsAgent Orchestration
January 2025 – December 2025
OmniqAI

OmniqAI

Software Engineer

  • 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.
FastAPIKubernetesAWSTerraformPostgreSQLRAG
August 2024 – December 2024
OmniqAI

OmniqAI

Software Engineer Intern

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

Projects

Traceable systems and AI platforms in production.

Octaclaw
01

Multi-Agent Orchestration Platform

  • Built a multi-agent orchestration engine that decomposes goals into DAGs and executes subtasks in parallel with a worker pool.
  • Implemented specialist agent routing (Researcher, Builder, Tester, CodeReviewer) with role-specific prompts and tool-augmented workflows.
  • Delivered local-first semantic + episodic memory with vector search and automated reflexion to improve task outcomes over time.
  • Added durable checkpointing so long-running graph executions can resume after interruption without data loss.
Node.jsTypeScriptLLMsVector SearchCLIDiscord APITelegram API
TraceFox AI
02

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.
PythonFastAPINode.jsNext.jsRedisPostgreSQLSQLiteTerraformDockerGitHub APILLMs
View repo