Hey everyone,

If your pipeline is overloaded, you have extra client work you need to offload, or an MVP that needs to be built with highly efficient AI integrations, I can step in as your senior engineering hand.

I am a full-stack system architect specializing in end-to-end product development, data engineering, and low-capex AI architecture (running heavy analytical tools and local AI/LLM pipelines on optimized, lightweight infrastructure to keep operational bills down).

What I can take off your plate:

• AI & Intelligence Pipelines: Deploying local LLMs, building minimal-overhead RAG frameworks, vector search optimization, and custom OCR document intelligence pipelines to process enterprise workflows at a fraction of the cost of public APIs.
• Backend Architecture: Designing high-concurrency event handlers, robust microservices, gRPC transport layers, GraphQL APIs, and optimized databases (ClickHouse, DuckDB, PostgreSQL, SQLite).
• Frontend Systems: Building highly performant, responsive web applications using modern Javascript/Typescript frameworks (Vue.js 3, Angular 10+, Node.js) and single-SPA microfrontends.
• Enterprise Automation: Power BI analytical dashboards, custom Power Platform solutions, and complex cross-application system orchestration.

I am fully remote, comfortable aligning with international time zones, and focus heavily on writing clean, scalable, and memory-efficient code.

• Portfolio / Source Code:https://github.com/offline-pixel
• Location: Remote
• Rate: Starting at $40-120/hr (Also open to project-based flat rates or fixed-budget milestones depending on your scope, provided it meets subreddit minimums)

Description

Only looking for full-time remote roles.

Expected Compensation: Open to standard industry full-time salary packages based on role and responsibilities.

I’m a software engineer working across cross-platform development, full-stack systems, and enterprise automation.

The attached video showcases my previous portfolio website, redesigned into a modern, responsive UI, improving structure, usability, and user experience. Each section reflects real engineering work across my experience.

Core Skills

• Cross-platform application development (web + desktop)
• Full-stack engineering (frontend + backend systems)
• UI/UX redesign and frontend modernization
• Automation & workflow systems (enterprise + AI-driven)
• Data pipelines and performance-focused engineering

Experience Highlights

• Built and modernized web applications using React, Vue, and Angular
• Developed backend systems using Node.js, Python, and APIs
• Built Rust-based low-latency systems and pipelines
• Delivered enterprise automation using Microsoft Power Platform (Power BI, Power Automate, SharePoint, Teams)
• Developed AI/LLM-based workflows and document processing systems

Tech Stack

Rust, JavaScript/TypeScript, React, Vue, Angular, Node.js, Python, FastAPI
Azure, AWS, Docker, Kubernetes
Power Platform, Microsoft 365, SharePoint, Power BI
MongoDB, PostgreSQL, DuckDB, ClickHouse
LLMs, LangChain, FAISS

After an intense period of development, I have officially submitted my new app to the Google Play Store and am currently awaiting approval.

Comment your thoughts

Step 1 - My group link - https://groups.google.com/g/kuberql-testers
Step 2 Become a tester - https://play.google.com/apps/testing/com.deepakranolia.kuberql ( will be able to download from there on playstore ( https://play.google.com/store/apps/details?id=com.deepakranolia.kuberql )

Once you will join and install my app. You will receive an email from me where you can post your app steps... We will do a 2 minute video recording of each other applications to make things transparent on same email thread on daily basis for next 14 days. There can be a chance where we might skip using reddit/group but we sure gonna check our emails on daily basis for video interaction....

I will be your manger to make sure our application will be on production.

Thanks
DR

I used to be a software engineer, but back in September 2024, I had to leave my full-time job. Since then, whenever I had time, I tried to build projects/products to start earning again. At first, I worked with languages like Node.js and Python, but eventually I shifted to Rust about 5-6 months ago.

Now, I’m capable of creating cross-platform applications, but I still don’t know much about cracking interviews or getting in touch with experienced Rust developers. Can someone review my application/profile?

Although I haven’t specifically mentioned concepts like ownership, borrow checking, etc. in order to keep it 2 pager max. However, over the past few months I’ve been able to work effectively on low-level systems compared to other programming languages.

Any suggestions, comments, or networking opportunities that could help me land a job would be greatly appreciated. Going back to solving simple problems is not my cup of tea anymore, and I don’t want to keep swinging between both worlds (Rust and other languages) without a job

I recently switched to Rust while being independent / not working with any company for the past 1.5 years, which has been one of the most challenging phases of my career. Now, I don’t feel motivated to go back to working only on simpler problems, so I’d really appreciate feedback from people who are experienced in identifying talent and potential.

I also trimmed my resume down to 1.6 pages, compared to the earlier 2.8 pages. I hope it makes more sense now. I worked hard to reduce a lot of content from my previous experience, but this is the best version I could shape it into for now. Some people who reviewed my old resume may not see this updated one, but to everyone here - is my resume any good now?

I removed my Git contribution graph since it was just an image, cut down many listed skills, and reduced a lot of details (though none of it felt like jargon to me). I also introduced mentions of space/time complexity and design principles, which were missing earlier, and added projects - though not all projects are included yet.

If you comment, I won’t feel insulted at all. I’d actually be grateful, because an honest second-person point of view can help me improve.

Thank you for your time.

I recently switched to rust while I was not working with anyone from past 1.5 years which seems a challenging job of all time. And now I can not go back work on simpler problems and would like to know some feedback who is an expert in finding a talent

I started my career as a web designer, frontend, backend now a somewhere between a good quant and best software engineer. I can work with MEAN, MERN, Python and rust. I know frontend, backend, Infra setup, working on feature requests...
I'm quite dedicated to starting a job in San Francisco, NYC if I can get an opportunities there and constantly giving interviews for the same as well. Can I get my resume feedback/reviews So I can target fintech, healthcare, CyberSecurity companies a lot better

The Project

I wanted to solve a major bottleneck in quant finance: the 1-3 year lead time it usually takes to build a reliable ML pipeline. My solution is a low-code/no-code interface that handles everything from data ingestion to model deployment, compressing that timeline into about 1-2 weeks.

How I Built It (The Workflow)

I spent the last three months moving from "up skilling" to building a production-ready stack. Here’s the technical breakdown:

High-Speed Data Ingestion: I built a custom Rust+python client to interface with the financial product APIs. Rust+python was a non-negotiable choice here to handle binary message parsing and endianness detection with near-zero latency.

Storage Architecture: Instead of a traditional SQL database, I use compression, It allows for massive batch sizes and high-speed analytical queries, which is essential for training ML models on tick-level data.

The Backend: I focused heavily on observability and compliance. Every step of the pipeline is logged and measurable, so you aren't just getting an "AI prediction" you’re getting a performance-validated investment strategy.

Optimization: I spent a significant amount of time "milling" the code optimizing every millisecond of the computation path and turning complex backend logic into a clean, terminal-based interface for the user.

Build Insights

The "Low-Code" Logic: The core innovation was abstracting the complexity of data parsing (LTP, Quote, Full modes) into a visual or terminal-driven workflow.

Latency Matters: Switching heavy computations to low-latency code early on saved me from having to rewrite the entire architecture once I started dealing with real-market volumes.

The Goal

The tool allows you to build models for short, mid, or long-term investments based on actual ML performance metrics rather than gut feeling.

Tool used Programming languages like rust + python + javascript