8+ years experience
Available for consulting
Led 9–10 person teams
Scroll
About
Who I am
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+ yearsLanguages: English, Hindi (full professional proficiency)
Career
Experience
Founder and Full Stack Engineer
Recruitom Technology Pvt LtdJanuary 2026 — Present · Gurugram, India
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.
Digital Solutions Architect
Marva GroupOct 2024 – Feb 2026 · New Delhi, India
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.
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.
Automation & AI Team Manager
ICG MedicalApr 2024 – Oct 2024 · Delhi NCR, India
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.
AI Engineer
ICG MedicalApr 2023 – Mar 2024 · Delhi NCR, India
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.
Data Analyst
ICG MedicalNov 2022 – Apr 2023 · Delhi NCR, India
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.
Manager – Onboarding
Greenstaff Medical CanadaJul 2022 – Nov 2022 · Delhi NCR, India (remote for Canada)
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%.
Senior Onboarding Specialist
Greenstaff Medical CanadaMar 2021 – Jul 2022 · Delhi NCR, India (remote for Canada)
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.
Associate Data Analyst
HCT HolidaysMar 2018 – May 2020 · India
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.
Senior Executive Counselor
Talentedge Education Ventures Pvt. Ltd.Dec 2016 – Dec 2017 · Gurugram, India
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.
Selected work
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.
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.
