Open to software engineering internships

Thulasiram K

Software Engineer · Backend Systems · Cloud & AI Applications

Building scalable software, intelligent applications, and modern cloud systems.

Computer Science Engineering student focused on backend development, cloud-native applications, real-time systems, and AI-powered tooling.

Resume GitHub LinkedIn
Thulasiram K
// 01 — about

Who I Am

The Engineer

I'm a Computer Science (AI & ML) student at Chennai Institute of Technology, building systems at the intersection of backend engineering, cloud infrastructure, and applied AI. I care about clean architecture, reliability, and writing software that holds up under real conditions — not just in demos.

I'm drawn to problems that require both systems-level thinking and product sense: a Go backend managing concurrent WebSocket streams, a multi-agent LLM pipeline, or an ML-integrated IoT data system.

6+
projects
3
hackathon wins
7.54
CGPA

What Drives Me

I got into engineering because I wanted to build things that actually work. I've competed in hackathons (and won a few), contributed upstream to an AWS open-source TLS library, and explored research applying AI to financial market prediction.

I'm genuinely curious about how large-scale systems are designed, how AI agents can be integrated into real developer workflows, and what it takes to ship software that scales. Not as a buzzword exercise — as working, useful products.

Actively seeking software engineering, backend, cloud, and AI engineering internships.

B.E. CSE (AI & ML) · CIT · 2024–2028
// currently exploring

Things I'm Thinking About

Distributed Systems
AI Agents & Tool Use
Cloud Infrastructure Design
Real-Time Application Architecture
System Design Patterns
Financial AI Systems
Open Source Contribution
// 02 — projects

Featured Work

ArkaOS — Privacy-First Desktop Operating System

Privacy-first desktop operating system built with a custom shell, immutable architecture, application permission management, and atomic updates—designed to make secure computing simple for everyday users.

Built a custom desktop shell with Launcher, Settings, Dashboard & Capsule
Immutable operating system powered by bootc + composefs
Android-inspired application permission management
Atomic updates, rollback and browser sandboxing
RustGTK4KDE PlasmabootccomposefsD-BusFlatpakLinux
Evolith

Project Memory Doctor that reconstructs your project's evolution from Git history, identifies features, detects security issues, and provides actionable insights—all offline using deterministic analysis.

Reconstructs feature history from Git commits
Context-aware repository health and security analysis
Offline-first deterministic recommendation engine
Cross-platform Rust CLI with GitHub Releases and Winget support
RustSQLiteGitCLIGitHub ActionsWinget
TRX-AI

Multi-agent code intelligence platform for automated code review and patch generation using local LLMs — privacy-preserving, zero data egress.

Review → Patch → Eval multi-agent pipeline
Semantic code evaluation with modular agent architecture
Local-first via Ollama — runs fully offline
Async FastAPI backend with pluggable LLM backends
PythonFastAPIOllamaLLMsMulti-agent
SysDash

Real-time system monitoring platform with a concurrent Go backend streaming live metrics to a browser dashboard over WebSockets.

Concurrent Go backend — goroutine fan-in from CPU/Mem collectors
Push-based real-time delivery via WebSocket connections
Clean layered design: collector → transport → UI
Fully containerised with Docker for reproducible deploys
GoWebSocketsDockerPython
Machine-Guard-AI

Industrial IoT monitoring system with ML-based anomaly detection and real-time event streaming from edge devices to a secure backend.

MQTT-based edge-to-cloud device integration
ML anomaly detection on live industrial sensor streams
Firebase RTDB for low-latency alert propagation
Event-driven, secure backend with Kotlin mobile client
KotlinFlaskMQTTFirebaseIoT
UnicornScope AI

AI-powered startup intelligence platform combining Elasticsearch semantic search with LLM analysis for investor-grade startup insights.

Elasticsearch-powered semantic retrieval at scale
LLM-driven startup scoring, clustering, and summarisation
Async FastAPI backend — search-as-you-type React frontend
Modular architecture, horizontally scalable by design
ReactFastAPIElasticsearchLLMsPython
// 03 — technologies

Skills & Stack

Languages
PythonGoC / C++JavaScriptTypeScriptKotlinSQL
Frontend
ReactNext.jsTailwindCSSTypeScriptWebSockets
Backend
FastAPIFlaskGo HTTPREST APIsMQTTWebSockets
Cloud & DevOps
AWSDockerFirebaseLinuxGitCI/CD
AI & ML
PyTorchOllama / LLMsOpenCVFinBERTViTScikit-learn
Databases & Search
PostgreSQLElasticsearchFirebase RTDBSQLiteSupabase
// 04 — experience

Work & Internships

Software Engineer Intern
Presidio
2026
Completed an intensive full-stack engineering program spanning system design, backend architecture and API design (auth, Docker, ECS/Cloud Run), advanced React, DevOps (CI/CD pipelines, Terraform, Kubernetes), and generative AI (LLMs, embeddings, RAG, prompt engineering)
Built "Study Flow AI" capstone application integrating the full stack end-to-end — containerized backend and React frontend deployed via CI/CD on Terraform-provisioned infrastructure with RAG layered on top
Amazon ML Summer School (MLSS) 2026 — Participant
Amazon
2026 – Present
Selected for Amazon Machine Learning Summer School 2026, an intensive scientist-led program covering machine learning, deep learning, generative AI, LLMs, and modern AI techniques
Strengthened practical AI/ML fundamentals through expert-led lectures, real-world Amazon ML case studies, and hands-on assignments focused on production-scale scenarios
Cloud Computing Intern
Chennai Institute of Technology
2025
Engineered a real-time system monitoring dashboard tracking 6+ KPIs (CPU, memory, disk, network) with live alerting and automated metric collection, reducing manual effort by ~60%
Built the dashboard on a Go concurrent backend with bounded channels for backpressure across REST + WebSocket transports, sustaining stable low-latency streaming under load
Enabled cross-platform deployment by publishing a companion Python CLI to PyPI and Dockerizing the stack for a one-command deployment
// 05 — achievements

Recognition

Open Source
🔐
AWS s2n-tls Contributor
Contributed to Amazon's s2n-tls — the open-source TLS/SSL implementation powering AWS services. Code reviewed and merged upstream.
🥇 Winner
⚡
TI Forge Hackathon
First place at TI Forge — a hardware and software hackathon. Built an embedded system solution under a 24-hour constraint.
🥇 Winner
🌱
AI for Sustainability Hackathon
Won by designing a data-driven solution for environmental impact monitoring and analysis using AI.
Top 5
🎓
IISc Bangalore Coding Competition
Ranked 4th at IISc Bangalore's competitive programming contest — one of India's most prestigious research institutions.
Finalist
🚀
Google TechSprint Finalist
Selected as a finalist in Google's TechSprint program, competing against engineering teams from colleges across India.
// 06 — contact

Get In Touch

Let's build something great.

I'm actively seeking software engineering, backend, cloud, and AI engineering internships. If you're building something interesting, or recruiting for a role I'd be well-suited for — I'd genuinely love to hear from you.

thulasiramk.aiml2024@citchennai.net
github.com/thulasiramk-2310
linkedin.com/in/thulasiram-k-60a864328