Sidharth Rashwana
Remote
Building scalable backendsand practical AI
Production systems, clean architecture, and real-time delivery.
I design and deliver reliable systems: high-performance APIs, distributed services, and AI workflows that run in production.
Backend + AI engineering built for production
I design and ship scalable backend platforms with performance, security, and real-world reliability — and integrate AI systems that teams can trust in production.
Who I am
Backend developer with strong Go + Python expertise
I’m an experienced backend developer with robust proficiency in Golang and Python. I specialize in designing and implementing scalable, efficient backend systems with a strong focus on performance, reliability, and clean architecture.
I build RESTful and gRPC APIs, integrate with multiple databases, and develop high-concurrency systems that hold up in real production conditions. I’ve owned the full backend development lifecycle — from system design and implementation to testing, deployment, and production troubleshooting.
Alongside backend systems, I also build AI features that actually ship: retrieval-augmented generation (RAG), agentic workflows, and LangChain-based pipelines with tool usage, retrieval tuning, and safety-first controls. I focus on correctness, observability, and production constraints — not just demos.
I’m committed to delivering high-quality solutions with clean code, industry best practices, and security-first engineering habits — so teams can ship confidently and scale safely.
What you can expect
Built for real systems — not toy demos.
Performance + reliability at scale
I build high-concurrency backend systems and optimize hot paths to keep APIs fast, stable, and production-safe under real load.
Security-first backend delivery
Clean auth boundaries, safe defaults, audit-ready patterns, and practical security measures built into APIs from day one.
Strong API contracts (REST + gRPC)
I design backend contracts that stay maintainable: versioning, pagination, validations, and service-to-service communication done right.
Production AI (RAG + agents + LangChain)
I build agentic workflows and RAG systems with LangChain, tool calls, retrieval design, and monitoring — focused on correctness and real usage.
Scalable backend & realtime systems
High-signal builds: backend platforms, realtime systems, and production AI features.
CodeOrchestrator
AI-powered GitHub analysis, summaries, and release notes
Backend · 2025
CodeOrchestrator
This project provides a backend solution that enables developers and organizations to seamlessly integrate with GitHub, manage repositories, pull requests, commits, issues, and leverage AI for enhanced analysis, summaries, and automated release notes generation.
Network Traffic Analyzer
Real-time packet capture and traffic analysis
Systems · 2025
Network Traffic Analyzer
This project provides a backend solution that captures network traffic passing through a specified interface, enabling efficient and real-time analysis of network activity.
PeerCast
Mesh-style realtime messaging
Distributed · 2025
PeerCast
This project provides a backend solution that enables the broadcasting of messages among connected peers, facilitating efficient and real-time communication within a network.
VM Orchestration Platform
VM Orchestration and Observability
Infrastructure · 2025
VM Orchestration Platform
This project provides a backend solution that enables developers and administrators to quickly provision new VMs, configure resources, and monitor performance metrics in real time.
Real-Time Rider Tracking System
Live geolocation tracking with event updates
Realtime · 2025
Real-Time Rider Tracking System
This project provides a backend solution for real-time rider tracking by continuously ingesting and processing location updates, movement events, and rider status signals. It is designed for low-latency responsiveness, high-volume data handling, and scalable geospatial processing, making it suitable for ride-hailing, logistics, delivery, and fleet management systems.
Certifications backed by real-world engineering
Some milestones that reflect my platform, security, and backend engineering work.
Coursera · 2020
Python for Everybody
The holder of this specialization has demonstrated the ability to use Python for backend development tasks, including working with data structures, retrieving and parsing web data, and integrating with databases. Their work highlights a practical understanding of server-side programming and data-driven application logic.
OffSec · 2020
Offensive Security Wireless Professional (OSWP)
An OSWP holder has demonstrated the ability to analyze and identify encryption methods and vulnerabilities within 802.11 wireless networks. They possess the skills to bypass wireless security restrictions and successfully recover encryption keys, highlighting a practical understanding of wireless attack techniques and network security.
OffSec · 2022
Offensive Security Certified Professional (OSCP)
An OSCP holder has demonstrated persistence, creativity, and keen analytical skills in identifying vulnerabilities and executing structured attacks under strict time constraints. The certification reflects their ability to think critically, solve complex security challenges, and conduct effective penetration tests with minimal reliance on automated tools, showcasing hands-on expertise in real-world offensive security.
HackerRank · 2023
Problem Solving (Intermediate)
The Problem Solving (Intermediate) certification demonstrates proficiency in applying data structures and algorithms to solve moderately complex coding challenges. It reflects a solid understanding of logic, analytical thinking, and the ability to develop efficient, optimized solutions under time constraints.
Linux Foundation · 2024
Certified Kubernetes Application Developer (CKAD)
A CKAD holder has demonstrated proficiency in building, monitoring, and troubleshooting scalable applications in Kubernetes. This certification reflects the ability to understand and apply core concepts, configuration, multi-container pods, observability, pod design, services and networking, and state persistence, showcasing hands-on expertise in leveraging Kubernetes primitives to optimize application performance and reliability.
KodeKloud · 2024
Advanced Golang
The Advanced Golang certification demonstrates expertise in building high-performance applications using Go. It reflects a strong command of concurrency, module management, RESTful API development, and CI/CD practices. This certification validates the ability to write scalable, maintainable, and efficient Go programs suited for real-world software engineering challenges.
Tip: scroll or use ← / → keys
Engineering skills for scalable systems and applied AI
Backend, distributed systems, cloud infrastructure, and LLM integration (LangChain, agents, RAG) — built for real-world reliability.
Microservices
Designing distributed services with strong contracts and operational reliability.
Confidence
90%
Monolithic Architecture
Clean modular monoliths where developer speed and simplicity matter most.
Confidence
85%
gRPC
Service-to-service APIs with fast transport, typing, and streaming support.
Confidence
80%
REST APIs
Well-designed APIs with auth, pagination, filtering and stable contracts.
Confidence
90%
WebSockets
Realtime communication for dashboards, notifications and streaming updates.
Confidence
90%
Kafka
Event-driven systems with retries, DLQ strategy, and scalable consumers.
Confidence
80%