Heera | AI Builder | AI Deploy Network

About Heera

I am an AI/ML Engineer and Computer Science graduate from IIIT Nagpur, focused on building intelligent applications, agentic AI systems, and data-driven solutions.

My technical interests include Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), multi-agent architectures, machine learning, and workflow automation.

I have developed practical projects across demand forecasting, healthcare recommendation systems, document intelligence, and AI-powered business applications. I work with Python, Pandas, NumPy, Scikit-learn, FastAPI, Streamlit, and modern AI development tools.

I am particularly interested in transforming real-world business problems into practical AI products, building production-oriented applications, and collaborating with organisations on AI engineering and automation projects.

Currently open to AI/ML engineering opportunities, consulting, and project-based collaborations.

Professional profile

Location: Nagpur, India
Time zone: Asia/Calcutta
Work mode: Remote, On-site, Hybrid
Availability: Available Now
AI experience: 1+ years
Industry experience: 1+ years
Languages: English, Hindi, Telugu
Working hours: MON-FRI
Typical response: Within a few hours
Preferred engagement: Small (individual or single team)
Travel: Regional travel
Available in: India

Proven on the network

Implementation records and publicly available work, where published.

1 AI Deployment delivered, including 1 publicly identified implementation available to inspect.

What Heera builds

Implementation domains listed on this profile. Evidence-supported items are identified separately below.

Specialisations

AI Agents

Business Intelligence

Multi-Agent Systems

Prompt & Context Engineering

RAG & Knowledge Retrieval

Builder-listed deployment types

AI Agent
Business Intelligence
Multi-Agent Systems
RAG System
Workflow Automation

AI Deployments

Real AI implementations demonstrated through evidence.

01 / AI DeploymentPublished record

ProfitPulse AI: Multi-Agent Business Intelligence and Decision Support Platform for SMEs

An AI-powered business intelligence platform that combines financial, sales, inventory, and supply-chain analytics with multi-agent reasoning to help SMEs make evidence-based business decisions.

Wholesale Distribution · AI Agent · Business Intelligence · Multi-Agent Systems · RAG System · Workflow Automation

View Deployment

Implementation capabilities

Evidence-supported means linked to a published Deployment or Case Study; other capabilities are Builder declared.

Evidence-supported

Business Intelligence1 record
Multi-Agent Systems1 record
AI Agent1 record
RAG System1 record
Workflow Automation1 record

Builder declared

AI Agents
Prompt & Context Engineering
RAG & Knowledge Retrieval

Technology

Technologies listed by the Builder, distinguished by published evidence.

Evidence-supported

No published evidence linked yet.

Builder declared

Azure AI Foundry
Docker
GitHub Actions
LangChain
LangGraph
LangSmith
MongoDB Atlas Vector Search
Ollama
Pandas
Python
Reflex
n8n
vLLM

Industry experience

Published Deployments support the listed counts. Other industries are Builder declared.

Wholesale Distribution

1 published Deployment

FinTech

Builder declared

Healthcare Providers

Builder declared

Manufacturing

Builder declared

Retail

Builder declared

Trust & verification

A closer look at how this profile and its evidence are reviewed.

Community Member

Published evidence is reviewed against the AI Deploy Network Evidence Standard.

How verification works

Community

Verified Builder

Independently reviewed by AI Deploy Labs against the platform Evidence Standard.

How this is verifiedWhat the platform has established, and what remains builder-declared.

Identity and organisation: Identity checks confirm that the person presenting this profile controls the account and the professional identifiers attached to it, such as a LinkedIn profile. Organisation membership is confirmed by the organisation, not self-declared by the builder.
AI Deployments: An approved AI Deployment is an implementation record the builder submitted and the platform reviewed against the Evidence Standard before publication. Approval confirms the record is complete, coherent and consistent with the supporting material provided — it is not an audit of the client's systems.
Business outcomes: Outcome figures are recorded by the builder on the deployment or case study that produced them, and are reviewed at publication. Aggregates shown on this profile are calculated from those approved records only.
Evidence: Supporting evidence comes from the records the builder published on this platform: approved AI Deployments, published AI Case Studies, verification outcomes and organisation participation.
Currency: Older evidence continues to count and is never removed. Recency is presented separately through Professional Currency so that current expertise can be assessed alongside historical work.
Traceability: Every figure on this profile can be followed to the record that produced it. Open the linked AI Deployment or AI Case Study to read the outcome exactly as it was reported.

The platform does not independently audit client systems or financial records. How this is verified

Ready to discuss your AI implementation?

Tell Heera what you are trying to automate and the outcome you need. Your message goes directly to the builder, with a copy kept in your Organisation Workspace.