Services that turn data into delivery.

From AI & NLP to RPA, Dynamics 365, and scalable MLOps — I help organizations automate, analyze, and accelerate with production-grade solutions.

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Service Lines

AI & Machine Learning

Custom NLP & AI Solutions

Design and deploy domain-tailored NLP and predictive models — from CV parsers and chatbots to clinical/legal text analytics.

LLM integration (GPT-4 class, Gemini), prompt & retrieval design
BERT/PyTorch pipelines, evaluation & observability
APIs & microservices for inference at scale

Automation

RPA Development & Process Mining

Automate high-volume processes (IAM, orders, compliance) with resilient bots and measurable ROI.

UiPath, Automation Anywhere, Power Automate
Process discovery with mining & KPIs
Testing, monitoring, and change management

Data & MLOps

Data Engineering & Model Operations

Build secure training/serving environments with reproducible pipelines, experiment tracking, and governance.

ETL/ELT, feature stores, AutoML
MLflow, DVC, experiment tracking
APIs, Streamlit dashboards, encryption at rest

Enterprise Apps

Dynamics 365 & Power Platform

Design, customize, and integrate enterprise apps for case management, document automation, and analytics.

Power Apps, Dataverse, Power Automate, Power BI
Xpertdoc / document workflows, e-sign & records
Azure AD B2C, REST/SOAP integrations

Cloud & DevOps

Cloud Architecture & CI/CD

Operationalize delivery with secure cloud patterns, automated testing, and release pipelines.

Azure & AWS pipelines, IaC, containerization
Observability, cost control, and reliability
Security reviews & governance

Enablement

Training, Workshops & Advisory

Upskill teams in AI, RPA, and data — pragmatic sessions focused on business outcomes.

Hands-on Python, SQL, and automation labs
Discovery & roadmapping for exec stakeholders
Playbooks, SOPs, and Center of Excellence setup

Engagement Packages

AI Feasibility Sprint — 2 weeks

Outcome: prototype + roadmap

Use-case discovery and data audit
Baseline model/automation prototype
ROI & risk assessment

Fixed-scopeExec-ready

Automation Launchpad — 4–6 weeks

Outcome: production bot + runbook

Process mapping & guardrails
Bot build, test, hardening
Monitoring & handover

RPACompliance

MLOps Foundations — 6–8 weeks

Outcome: reproducible pipelines

Experiment tracking & versioning
CI/CD for models & APIs
Security & governance patterns

Azure/AWSMLflow/DVC

Delivery Process

1. DiscoverAlign on goals, constraints, and success metrics.

2. DesignSolution architecture, data plan, and acceptance criteria.

3. BuildIterative delivery with demos, tests, and security reviews.

4. LaunchProduction hardening, monitoring, and knowledge transfer.

Let’s work together

Ready to scope a project or want a quick second opinion? I’m here for it.

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