You will get your idea converted into AI Agent, Workflow or Python Software

4.5

Let a pro handle the details

Buy Other AI & Machine Learning services from Bala Ram, priced and ready to go.
4.5

Let a pro handle the details

Buy Other AI & Machine Learning services from Bala Ram, priced and ready to go.

Project details

Stop settling for dumb chatbots. Its time for real Agentic AI.

Most sellers just wrap ChatGPT in a basic UI. With over 4 years of experience in AI development, I don't just build bots that talk, I build Agentic Systems that do.

What is an Agentic System?

Unlike standard AI, my agents can plan, reason, and use tools. They can browse the web, manage your CRM, send emails, and execute complex workflows autonomously.

I Can Build Agents That:

Research: Scrape the web and generate comprehensive reports.
Operate: Handle customer support, process refunds, and book meetings.
Analyze: Review documents and update your database automatically.
My Tech Stack:

I specialize in robust frameworks like LangChain, CrewAI, LangGraph, and n8n. Whether you need a simple automation or a multi-agent swarm, I have the architectural expertise to deliver it.

Why Me?

4+ Years Exp: Building AI before the hype.
Business Logic: I focus on ROI and efficiency, not just code.
End-to-End: From design to deployment.
Ready to automate your business?

Please message me before ordering so we can architect the perfect solution for your needs.
AI Development Type
Deep Learning, Knowledge Representation, Model Tuning, Recommendation System, Software Maintenance
AI Tools
Amazon SageMaker, Azure Machine Learning, Google AutoML, Keras, MLflow, NVIDIA AI Platform, OpenCV, PyBrain, PyTorch, Sonnet
AI Development Language
Python
What's included
Service Tiers Starter
$50
Standard
$500
Advanced
$3,000
Delivery Time 5 days 10 days 40 days
Number of Revisions
5510
AI Model Integration
Detailed Code Comments
Knowledge Graph
Model Documentation
Ontology
Source Code
Taxonomy
4.5
2 reviews
50% Complete
50% Complete
1% Complete
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1% Complete
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1% Complete
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AH

Aidan H.
5.00
Dec 13, 2025
Python Competency Task

KW

Kevin W.
4.00
Jan 15, 2024
Need help with python task
Bala Ram N.Status: Offline

About Bala Ram

Bala Ram N.Status: Offline
LLM and ML Engineer | Agents, RAG, Fine-Tuning, Evaluation
4.5  (2 reviews)
Kathmandu, Nepal - 12:53 am local time
I'm an LLM and ML engineer with about 3 years of experience building production AI systems. Most of my work is on agents, RAG pipelines, fine-tuned open models, and the evaluation setup that tells you whether any of it is actually getting better.

A pattern I see in projects that come to me: the output looks fine on a few examples, breaks on others, and there's no way to measure when or why. Setting up that measurement loop is usually where I add the most value, and it's where a lot of LLM and agent projects get stuck.

What I'm working on right now:
- ML engineering at Manana Labs, building agentic systems and LLM applications for client work.
- An agentic orchestration system for a Stanford research lab. Replaced an unreliable prior implementation with a Claude Agent SDK pipeline and a custom eval harness, delivered in about 3 months.
- Maintaining unlearn-diff, a small open-source PyPI library for machine unlearning in diffusion models.

Areas I'm strongest in:
- Agentic systems with LangGraph or Claude Agent SDK
- RAG: chunking, hybrid search, reranking, grounding evaluation
- Eval harnesses: LLM-as-judge, deterministic checks, regression on golden sets
- Fine-tuning open models (Gemma, Llama, Qwen) with LoRA or QLoRA, on Runpod or AWS GPUs
- Production deployment on AWS (Lambda, ECS, EC2, Cognito, CloudFormation), Docker, CI/CD, monitoring

Past results worth mentioning:
- Self-hosted invoice extraction with OCR and Gemma-27B running on g6e.xlarge. Took over a single-prompt pipeline that wasn't working, broke the task into sub-steps, and tuned prompts against an eval harness. Accuracy crossed 90%.
- Stanford research lab tooling. Orchestrated complex scientific analysis tools through agents and iterated against an eval suite I built from scratch.
- Document Information Extraction at MLExperts. Reached 90%+ benchmark accuracy on production traffic.
- Law Baje. Domain-grounded legal RAG for Nepali law, around 80% grounding accuracy.
- AI Crusade 2023, Environment track winner (transformer predictive maintenance). 1st place at SXC Sandbox Hackathon 2024.

A recent client review on Upwork:
"I really liked working with Bala Ram. He delivered all his tasks before deadline and what I really liked about him is his coding structure and communication."

Stack I work with regularly:
Python, PyTorch, LangGraph, Claude Agent SDK, Transformers, OpenCV, FastAPI, Django, Postgres, Redis, Celery, AWS (Lambda, ECS, EC2, DynamoDB, Cognito), Docker, GitHub Actions, Weights & Biases, Langfuse, vLLM, Runpod.

How I work:
- Async-first. I send proactive updates so you're not chasing me for status.
- I back claims about model performance with eval numbers, not vibes.
- I take ownership end to end: design, build, evaluation, deployment, monitoring.
- I'm available 20-30 hours a week and can overlap US business hours.

Best fit for:
- Founders and teams shipping AI or ML products who need a senior engineer to make an agent, model, or RAG pipeline reliable.
- Rescue projects where a previous attempt didn't perform.
- Eval and observability buildouts on existing systems.
- End-to-end agentic feature work.

Probably not the right fit if:
- The work is mostly UI/UX or design.
- There's no clear definition of what "working" means and you don't want to define one.


If you have a problem in this area, send the spec or a Loom. I'll come back within 12 hours with a concrete plan or an honest "not the best fit for me".

Steps for completing your project

After purchasing the project, send requirements so Bala Ram can start the project.

Delivery time starts when Bala Ram receives requirements from you.

Bala Ram works on your project following the steps below.

Revisions may occur after the delivery date.

Gather requirements.

Understand the problem, brainstorm the possible solutions together.

Review the work, release payment, and leave feedback to Bala Ram.