About
Digital Solutions Architect with 8+ years designing scalable, data-driven and AI-enabled systems. I specialise in end-to-end solution architecture across Azure, APIs, data platforms, and automation to streamline workflows and make information usable for Finance, Sales, and Operations. Currently leading architecture and implementation of cloud, integration, and AI initiatives for a UK-based organization—remotely from India.
Experience: 8+ years · Languages: English, Hindi (full professional proficiency)
Experience
- Deployed to the UK for 2 months to analyse operations and design a digital solutions roadmap for Finance, Sales, and Corporate IT.
- Led design and delivery of a self-service reporting and insight platform combining automated data pipelines, AI-powered analytics, and role-based operational dashboards for finance and sales leaders.
- Defined target-state solution architectures across transactional systems, analytics layer, and integrations; designed enterprise data models and ETL pipelines to support them.
- Delivered a custom connector for Xero and other finance systems to expose clean, reusable data into the analytics platform.
- Architected and automated cross-department workflows with Azure Logic Apps, orchestration patterns, and Python services; designed and maintained Python web-scraping tools.
- Provide architectural leadership for Salesforce and third-party integrations; guide developers on API- and event-driven design.
- Design AI pipelines that combine OCR, NLP, and Azure AI services to classify documents, extract key fields, and feed compliance and reporting systems.
- Deliver cloud-native solutions on Azure (Functions, Logic Apps, App Services, OAuth2, Azure AD).
- Manage corporate websites: updates, integrations, and performance optimization.
- Unify data and systems across Finance, Accounting, Sales, and Operations for UK-based org (remote).
- Reduced manual data-entry time by ~50% via automated pipelines.
- Led migration of 3 legacy reporting suites into a modern, centralised analytics and insights platform.
- Worked with product and operations to identify high‑value use cases for AI and automation in internal tools.
- Designed and deployed AI applications on Azure (web apps, databases, blob storage), collaborating with cloud engineers on cost and performance.
- Built CI/CD pipelines with Azure DevOps for repeatable, automated model and application deployments.
- Developed AI‑enabled web applications in Python and Django, exposing inference through REST APIs and background jobs.
- Integrated Django services with Azure AI: Speech‑to‑Text, Text Analytics, and Computer Vision, using SDKs and REST APIs.
- Implemented NLP pipelines for language detection, key‑phrase extraction, entity recognition, and sentiment analysis on customer and operational text.
- Built document‑processing flows combining OCR and layout analysis to extract structured data from forms and certificates.
- Integrated third‑party APIs alongside Azure AI to enrich predictions and automate downstream actions.
- Reduced document‑processing time by ~40% by replacing manual review with OCR+NLP pipelines and automated validation rules.
- Mentored two junior developers on designing AI integrations, handling rate limits, and monitoring model behaviour in production.
- Designed and built 12+ analytics dashboards and reports (using Power BI and Python) for sales and finance leadership.
- Developed comprehensive sales and financial reporting to track metrics, trends, and forecasts.
- Transformed complex datasets into clear, actionable visualizations for non-technical stakeholders.
- Partnered with finance teams on data requirements and reporting solutions.
- Automated repetitive reporting and data tasks; reduced monthly report turnaround by 35% with Python.
- Led design and execution of the onboarding process; architected automated systems to improve speed, consistency, and compliance.
- Designed customized workflow automations and Python services for data entry, document generation, and new-hire communications.
- Defined onboarding KPIs and dashboards to identify bottlenecks and measure process performance.
- Aligned solutions with business and regulatory requirements via cross-functional collaboration.
- Trained staff on new onboarding systems and processes.
- Shortened time-to-productivity for new hires by 25%; reduced onboarding support tickets by ~30%.
- Drove healthcare staffing operations: ad hoc, contract, per diem, and permanent placements.
- Managed specialist nurse placements (ICU, Medical Surgical, L&D, ER, Psychiatric) and international RN recruitment for Canada and US.
- Coordinated with clients and candidates on placement requirements; applied expertise in Canadian healthcare staffing.
- Exceeded placement targets by 15% in two consecutive quarters.
- Improved candidate response time with streamlined workflows.
- Managed leads and daily reporting in Excel; collected and processed client data from MMT, Thomas Cook, British Columbia, and others.
- Analyzed user requirements and built models to predict trending hotspots.
- Developed ad-hoc reports and analyses for multiple levels of management; delivered 20+ analyses per month.
- Maintained data quality and consistency for decision support.
- Improved lead conversion visibility with new tracking dashboards.
- Advised clients on course fit and program options.
- Generated and distributed management reports; performed data analysis and produced periodic reports for leadership.
- Recommended and implemented MIS updates; drove 10% improvement in reporting consistency.
- Built dashboards and reports in MS Excel (aggregates, Vlookup, Pivot tables), VBA, macros, and Tableau.
- Prepared sales team incentive calculations and MIS/dashboard reports for 50+ team members and department stakeholders.
Projects
Intelligent Compliance Document Automation
AI-driven extraction of key compliance data from forms and documents.
- Built a tool that reads compliance forms and supporting documents and extracts key fields and risk indicators for downstream checks.
- Designed a document-processing pipeline combining OCR, layout analysis, and NLP to identify entities such as certifications, expiry dates, and high-risk flags.
- Implemented validation and rules logic so incomplete or inconsistent submissions are automatically flagged for review.
- Integrated the tool with internal compliance systems via APIs, creating a single source of truth for document status and risk.
- Reduced manual document review time by ~50–60% while improving consistency and auditability.
Tech: Azure AI (OCR, Text Analytics), Python, REST APIs, document stores.
AI Meeting & Interview Recorder → Audit Docs
Turns voice recordings from staff interviews and meetings into structured, audit-ready documentation.
- Created a tool that ingests meeting and interview recordings, converts speech to text, and structures content into summaries, actions, risks, and follow-ups.
- Used speech-to-text services to transcribe multi-speaker audio and handle accents and background noise with reliable accuracy.
- Designed NLP processing to extract key topics, sentiment, and named entities, and to highlight potential compliance or HR risks.
- Auto-generated audit-ready documents from transcripts using standardized templates for interview notes and meeting minutes.
- Built a text-analysis dashboard so HR and management can search across interviews, filter by topic or risk level, and track recurring themes.
Tech: Azure Speech, Text Analytics / NLP, Python, dashboards.
Enterprise Reporting & Operations Portal
Next.js + TypeScript web portal providing a single entry point to operational and compliance reporting.
- Designed and built a Next.js and TypeScript portal that exposes 12+ operational and compliance reports in a unified experience.
- Implemented server-side rendering and API routes to securely fetch and aggregate data from multiple internal systems.
- Added radius-based search maps to visualise workforce availability and coverage by geography.
- Built availability, shift-fill, and high-risk compliance candidate reports to support day-to-day staffing decisions.
- Automated key business metrics such as ICB or contract performance updates so leadership always sees near real-time numbers.
Tech: Next.js, TypeScript, REST APIs, mapping library, CI/CD.
Financial Analytics & Margin Intelligence Suite
Comprehensive financial reporting for P&L, margins, debt ageing, and revenue.
- Designed the end-to-end data model for finance reporting, including revenue, cost, and debt facts plus shared dimensions.
- Built a suite of reports for Profit & Loss analysis, contractor margin analysis, debt ageing, and revenue trends at client and region level.
- Worked directly with finance and accounting to define metrics, variance rules, and drill-down paths that matched business reality.
- Implemented calculations for effective margin, write-off risk, and debtor exposure, enabling data-driven pricing and credit-control decisions.
- Automated data refresh and validation so reports stay in sync with source systems with minimal manual intervention.
Tech: Data modelling, SQL, BI tooling, Python for ETL.
End-to-End Onboarding Automation for UK Healthcare Staff
Automated onboarding journey and compliance checks for UK clinical staff.
- Modelled the full onboarding pathway for UK clinical staff (right-to-work checks, DBS, occupational health, training, references, clinical sign-off) as a state machine with clear data and document requirements.
- Built an orchestration layer that automatically advances candidates through stages when required documents are uploaded and validated.
- Used document AI to extract key information from DBS certificates, training records, and occupational health forms and populate internal systems automatically.
- Automated status notifications and checklists for candidates and recruiters, reducing email back-and-forth and missed compliance steps.
- Provided compliance and HR teams with a dashboard of onboarding progress, blockers, and time-to-clearance by client, region, and staff type.
Tech: Workflow engine, Python / Logic Apps, document AI, ATS/CRM integration, compliance dashboards.
Skills
Data & BI
Data modelling, semantic layers, metrics design, financial and operational reporting; tools used include Power BI, Tableau, and advanced Excel.
Engineering
Python, Django, Azure, APIs, Salesforce, Git, GitHub, web scraping, Azure DevOps
AI / ML
NLP, OCR, Computer Vision, Azure AI, sentiment analysis, document processing
Tools & Automation
Power Automate, Azure Logic Apps, VBA, Xero, compliance, process automation
Education
Applied Physics (coursework)
Delhi University
2010 – 2012 · Delhi NCR, India
