About
Founder & Director at Recruitom, an AI-native healthcare staffing technology venture. I bring 5+ years of hands-on experience in healthcare staffing operations, building data and automation systems for UK and North American healthcare staffing organisations. With 8+ years in automation, AI, and data systems overall, I design practical workflows that improve sourcing, screening, compliance, and delivery operations.
Experience: 8+ years · Languages: English, Hindi (full professional proficiency)
Experience
- Built an AI-powered document intelligence system that reduces credential processing from hours to under 3 minutes per candidate.
- Designed and shipped a bulk document processing pipeline handling multiple simultaneous uploads with real-time progress tracking.
- Architected a self-improving extraction system where accuracy compounds over time as domain experts configure it — no engineering changes required for new document types.
- Built a scalable multi-tenant SaaS on AWS with full data isolation, background job orchestration, and real-time event streaming.
- Designed a conversational AI assistant with deep contextual awareness across candidate history, compliance records, and operational workflows.
- Reduced manual credential data entry by over 90% through automated extraction and structured data pipelines.
- 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.
- Led a cross-functional team of 9–10 developers, AI engineers, and data analysts delivering automation and AI initiatives for operations and compliance.
- Owned the roadmap for AI and automation use cases, working with product, operations, and compliance stakeholders to prioritise and scope work.
- Used Jira and monday.com to plan sprints, manage backlogs, and track delivery across multiple workstreams.
- Provided architectural and technical guidance on AI integrations, data pipelines, and automation workflows built on Azure and Python.
- Defined engineering standards for code review, branching, and CI/CD to ensure safe, consistent deployments across environments.
- Reported progress and impact to senior leadership using dashboards and metrics to highlight time savings, error reduction, and throughput gains.
- 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, performance, and security.
- Designed and maintained CI/CD pipelines in Azure DevOps for AI services and web apps, standardising build, test, and deployment across environments.
- 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
