You will get A product-ready AI workflow for your business
Rising Talent

Rising Talent

Project details
I will help you turn one valuable manual, repetitive, or AI-ready workflow into a practical system your team can use.
This is not an open-ended development retainer. It is a fixed-scope sprint with a defined workflow, decision maker, success criteria, and delivery plan.
Examples include document intake and classification, customer-support triage, internal knowledge retrieval, underwriting/operations support, or analyst-assist workflows.
We start by defining the workflow, users, available data, existing systems, risk constraints, and measurable success criteria. Then we design and, depending on your package, prototype or build the agreed solution.
This is not an open-ended development retainer. It is a fixed-scope sprint with a defined workflow, decision maker, success criteria, and delivery plan.
Examples include document intake and classification, customer-support triage, internal knowledge retrieval, underwriting/operations support, or analyst-assist workflows.
We start by defining the workflow, users, available data, existing systems, risk constraints, and measurable success criteria. Then we design and, depending on your package, prototype or build the agreed solution.
AI Algorithms
Large Language ModelAI Applications
AIOpsAI Development Language
PythonAI Models
GPT-4What's included
| Service Tiers |
Starter
$3,000
|
Standard
$8,500
|
Advanced
$15,000
|
|---|---|---|---|
| Delivery Time | 7 days | 15 days | 30 days |
Number of Revisions | 1 | 1 | 1 |
AI Model Integration | |||
Batch Normalization | - | - | - |
Database Integration | - | - | - |
Detailed Code Comments | - | - | - |
Image Upscaling | - | - | - |
MLOps | |||
Model Deployment | |||
Model Documentation | |||
Model Monitoring | - | - | - |
Model Testing & Optimization | - | - | - |
Model Tuning | - | - | - |
Natural Language Processing | - | - | - |
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | - | - | - |
Setup File | - | - | - |
Source Code |
About Sidharth
AI Engineer | LangGraph | Architecture (UCLA/IIT, Ex Amazon, BofA)
Chandigarh, India - 4:04 am local time
I’ve led software engineering teams at Ansys and Bank of America and worked as a Senior Product Manager at Amazon. My background combines engineering, product, and finance: MS from Rensselaer Polytechnic Institute, MBA from UCLA Anderson, and BTech from IIT Patna.
I’ve built trading pipelines, a customer-retention platform used by 80,000+ brands, and attention-based credit-risk models for my own fintech startup. I understand both the technical work of building AI systems and the business consequences when they fail.
How I can help
- Review AI agent architectures built with LangGraph, LangChain, multi-agent, or deep-agent workflows
- Identify weaknesses in authentication, authorization, state management, tool access, reliability, observability, and failure recovery
- Debug inconsistent, brittle, or unreliable LLM and agent behavior
- Strengthen production AI workflows so they can handle real users, edge cases, retries, partial failures, and scale
- Review code and system design with clear priorities—not generic best-practice checklists
My reviews are structured around critical, should-fix, and nice-to-have findings. Every issue includes a concrete recommendation, why it matters, and a practical path to resolve it.
Most engagements begin with a short conversation about what has already gone wrong: unreliable outputs, stuck workflows, unexpected costs, security concerns, production incidents, or a prototype that is no longer sufficient. Those symptoms usually reveal where the highest-value work is.
I’m LangChain-certified in agentic engineering, with hands-on LangGraph experience. While I can support broader AI product and architecture decisions as an engagement evolves, I prefer to start with a specific, shippable problem and deliver useful progress quickly.
Steps for completing your project
After purchasing the project, send requirements so Sidharth can start the project.
Delivery time starts when Sidharth receives requirements from you.
Sidharth works on your project following the steps below.
Revisions may occur after the delivery date.
I determine the project scope, requirements and design workflows
I build the system from a manual workflow into a AI ready architecture design that can automate the process end to end.