From RAG pipelines and autonomous agents to full-stack platforms — 17+ years of engineering depth behind every AI-powered solution.
Not just software — intelligent systems that learn, adapt, and scale with your business.
Custom autonomous agents that handle complex workflows — from browser-based RPA to multi-step decision engines. Agents that think, act, and learn.
Turn your organization's scattered data into an intelligent, queryable knowledge base. RAG pipelines that deliver precise, sourced answers from your own documents.
Supercharge your engineering team's velocity with AI-integrated development workflows. From AI-assisted code reviews to automated testing and intelligent CI/CD.
Full-stack architecture from monolith decomposition to cloud-native microservices. Systems built to be resilient, observable, and ready to scale.
Fractional CTO or tech lead services to level up your team. Coaching engineers, establishing best practices, and building a culture of quality and iterative delivery.
Backed by a Master's in Information Security, security is baked into every layer — from infrastructure hardening to automated vulnerability scanning in your pipeline.
Every business process that involves searching, summarizing, deciding, or creating is a candidate for AI augmentation. The key is identifying the highest-impact opportunities and building solutions that deliver measurable ROI.
RAG systems replace hours of manual document searching with instant, accurate answers sourced from your own data.
AI agents handle repetitive tasks around the clock — data entry, report generation, monitoring — freeing your team for strategic work.
AI-augmented development workflows with intelligent code generation, automated reviews, and smart testing reduce cycle times dramatically.
from langchain import Agent, RAGPipeline
from embeddings import HybridSearch
class IntelligentAgent:
def __init__(self):
self.rag = RAGPipeline(
search=HybridSearch("bm25+vector"),
reranker="cross-encoder"
)
async def process(self, query):
context = await self.rag.retrieve(query)
return await self.reason(context)
# Production-ready AI ✓Sanin Codes is led by Sanin Adnan, a Principal AI Engineer with 17+ years of hands-on software development and 9 years of engineering leadership. Based in the Washington D.C. metro area, serving clients nationwide.
The approach is simple: combine deep engineering fundamentals with cutting-edge AI capabilities. Whether the need is an intelligent document retrieval system, autonomous agents, or a modernized platform — expect production-grade solutions with the rigor and quality that enterprise systems demand.
A unique blend of Cognitive Science training and AI engineering — understanding both the human and machine sides of intelligence.
From monolith decomposition at major enterprises to cloud-native microservices — systems built for reliability and scale.
A Master's in Information Security means security isn't an afterthought — it's embedded in every design decision.
Trained at ThoughtWorks in iterative delivery, TDD, and lean practices — shipping value early and often.
Delivering high-impact solutions for healthcare, financial services, retail, and government.
Architected an end-to-end RAG system integrated with Slack, enabling natural language querying across internal data sources. Built agentic RPA workflows using Azure OpenAI and browser automation for complex task automation. Established LLM evaluation frameworks for continuous improvement.
Led a cross-functional team delivering tier 1 scheduling applications. Reduced production issues by 25% and deployment-related issues by 50% through improved testing and observability. Established frameworks for parallelized, autonomous team delivery.
Developed a remote proctoring solution in 6 months with distributed teams. Led cloud migration efforts, breaking apart legacy monoliths. Built edge proxies with Envoy and GCP.
Consulted with three major clients across financial services, retail, and consulting to modernize practices and deliver solutions. Led AWS migrations using infrastructure as code and Kubernetes. Built micro-frontend applications for enterprise scale.
Led teams building recruiting tools, education platforms, and government applications. Specialized in .NET ecosystem, distributed systems, and high-throughput email delivery using the actor model.
Whether you're exploring how AI can transform your business, need to modernize a legacy platform, or want to level up your engineering team — let's start a conversation.