◈ Lead Automation Architect · 13+ Years · Bengaluru, India
I architect autonomous enterprise systems that eliminate human friction at scale. Specialist in Agentic AI pipelines, UiPath CoE design, and Intelligent Document Processing — built for Healthcare, Legal, and Fortune 500 Finance.
Over 13 years I have designed, built, and led automation programs that move businesses from manual operations to self-healing autonomous systems. My work spans four critical domains — Healthcare, Legal-Tech, Financial Services, and Manufacturing — each requiring a different balance of compliance rigour, system resilience, and AI sophistication.
My architectural edge is the intersection of classical RPA (UiPath/AA) with next-generation Agentic AI: I design systems where LLMs make routing decisions, traditional bots execute deterministic workflows, and IDP engines (ABBYY FlexiCapture) extract unstructured content — all orchestrated as a single, observable pipeline.
I operate at the Lead/Architect level: I own technical vision, coach junior engineers, negotiate with stakeholders, and am accountable for delivery outcomes — not just individual bot performance.
Core Differentiators
Engagement Style
Remote-first. Can lead distributed teams across IST/EST. Comfortable in board-level presentations and junior dev pairing sessions.
Quantifiable ROI across high-volume extraction, fintech, and healthcare pipelines.
URLs Targeted for Extraction
Annual Financial Throughput
Process Accuracy Rate
Human-Hours Saved / Month
DOMAIN: MANUFACTURING
Targeted 1.5 million URLs across 200+ domains. Designed a self-healing bot architecture to process 500+ deep-data extractions daily with zero manual intervention.
DOMAIN: FINTECH
Managed 1,000+ monthly invoices / emails for Enphase Energy. Integrated ABBYY and UiPath to eliminate multi-currency payment errors and audit risk.
DOMAIN: SAAS / LEGAL
Developed an E2E SaaS module achieving 95%+ extraction accuracy on unstructured PDFs, reclaiming 160+ hours of manual labor per month.
PROBLEM CLASS 01
Traditional RPA breaks when target sites change structure. I solved this by embedding LLM-based site-structure recognition into the routing layer, reducing bot maintenance by an estimated 70%.
PROBLEM CLASS 02
AP teams drowning in invoice variants. I designed ABBYY FlexiCapture + UiPath pipelines achieving >98% extraction accuracy with automatic exception routing and full audit trails.
PROBLEM CLASS 03
Healthcare orgs locked into 15-year-old EMR systems. I spearheaded project which secure bridges enabling ML model inference on live patient data without touching core legacy infrastructure.
Proof of delivery across 4 domains. Architectural decisions, not feature lists.
CASE 01
Algoworks Technologies Pvt Ltd.
2025 — PRESENT
ROLE
Lead RPA Developer
Manufacturing Intelligence · Web Extraction · Agentic Routing
The Problem
A large-scale manufacturer needed competitive intelligence from 200+ supplier/competitor sites. Structure varied wildly — traditional selectors broke weekly.
Architectural Decision
Rather than hardcoding site configs, I designed an LLM-based routing engine: on first visit, the agent inspects DOM structure and generates extraction rules. Rules are cached and self-heal on structure drift.
Outcome
Bot maintenance overhead dropped dramatically. System processes 200+ domains autonomously. Zero human intervention on structure changes — bots re-learn.
CASE 02
TransformEdge Enterprise
2022 — 2025
ROLE
Lead Consultant
Financial Services · IDP · Oracle ERP · Fortune 500
The Problem
Fortune 500 AP team processing thousands of invoice variants monthly. Error rates causing duplicate payments, compliance failures, and audit risk across Oracle Fusion ERP.
Architectural Decision
Three-layer design: ABBYY OCR for intelligent extraction → custom validation engine (business rules + duplicate detection) → UiPath SLA Bot for Oracle posting with full audit event logging.
Outcome
100% audit readiness. Duplicate payment incidents eliminated. Processing time reduced from days to hours. System handles seasonal volume spikes without configuration changes.
CASE 03
Healthcare
HIPAA ZONE
ROLE
Technical Lead
Healthcare · HIPAA · Medical Coding · PII Security
The Problem
Healthcare org's 15-year-old EMR system couldn't interface with modern ML coding models. Patient data was siloed. Manual re-entry created HIPAA risk and coding errors.
Architectural Decision
Designed a zero-touch PII bridge: UiPath extracts, transforms, and encrypts patient demographics → passes sanitised payloads to ML inference endpoint → writes coded outputs back to EMR. Audit log at every hop.
Outcome
Full HIPAA compliance maintained. Medical coding accuracy improved. Legacy system untouched — no migration risk. Extensible to additional ML models without re-engineering.
CASE 04
Mitratech
2017 — 2021
ROLE
Team Lead · CoE
Legal-Tech · Web Automation · CoE Migration · AA A360
The Problem
Legal team manually monitoring USCIS portals for receipt notices and case status updates across hundreds of active immigration cases — time-critical, error-prone.
Architectural Decision
Spearheaded Project to Built a scheduled portal-monitoring system with intelligent case-state tracking. Changes trigger downstream updates to legal case management with zero manual touch. Led parallel migration of entire bot portfolio from AA v11 to A360 Cloud.
Outcome
Near-real-time case status visibility for legal teams. Zero missed deadlines attributable to monitoring gaps. Successful CoE-wide migration to A360 with no productivity loss.
Visualizing the bridge between deterministic RPA workflows and autonomous Agentic AI pipelines.
ARCH-01 · Agentic Extraction Engine
ARCH-02 · AP Compliance Pipeline
All hops encrypted · HIPAA compliant · Full audit trail at every stage
ARCH-03 · EMR–ML Bridge · HIPAA Compliant
My architectural approach prioritizes observability and decoupling. By separating extraction layers from business logic, I ensure that system maintenance is handled at the configuration level rather than through code redeployments.
RPA PLATFORMS
IDP / AI
ENGINEERING
GOVERNANCE
Beyond the code — how I build teams and systems that outlast individual contributors.
Built Centres of Excellence from scratch at Mitratech and TransformEdge. Established naming conventions, reusable component libraries, PDD/SDD templates, and exception-handling standards adopted org-wide.
Led full migration of global bot portfolio from AA v11 to A360 Cloud at Mitratech — covering assessment, re-architecture, parallel run, and cutover — with zero productivity loss during transition.
Mentored junior RPA developers into lead roles. Structured internal training on REFramework patterns, exception design, and Agentic AI concepts. Created internal playbooks adopted as onboarding standards.
Regularly presented automation ROI and architecture decisions to C-suite and Fortune 500 client leads. Translated technical complexity into business value narratives that secured programme funding.
Ran sprint ceremonies, retrospectives, and effort estimation sessions for distributed automation teams. Applied story-point models specifically calibrated for RPA complexity — not borrowed from traditional software estimates.
Participated in technical screening for RPA and automation roles. Designed practical assessments (REFramework challenges, exception design exercises) to evaluate real architectural thinking vs. surface-level tool knowledge.
LEADERSHIP PHILOSOPHY
"A bot that runs is table stakes. A system that self-heals, scales, and teaches the team around it — that's the real deliverable."
— Ranjit Kumar Nayak
SEP 2025 — PRESENT
Algoworks Technologies Pvt Ltd.
Leading enterprise web extraction at scale. Architecting Agentic AI routing for dynamic domain handling. Pioneering LLM integration with classical RPA orchestration for a next-generation extraction platform.
2022 — 2025
TransformEdge Enterprise
Delivered invoice automation for Fortune 500 finance clients using UiPath AI Center + ABBYY Vantage. Owned architecture, stakeholder communication, and delivery accountability for AP compliance programmes.
2021 — 2022
ATTRA Infotech
Specialised in RPA testing frameworks and high-concurrency web scraping for banking sector portals. Built robust exception pipelines and performance benchmarks for bot fleets.
2017 — 2021
Mitratech
Managed Legal automation CoE. Built H1B/immigration automation suite. Led global bot portfolio migration from AA v11 to A360 Cloud. Established governance standards still in use.
Advanced RPA Professional
Automation Anywhere A360 Certified
Expertise in enterprise-scale bot lifecycle management, specializing in high-complexity v11 to A360 Cloud migrations.
Implementing Agentic Process Automation by leveraging A360's API-first architecture to integrate LLMs for cognitive decisioning.
Open to Lead Architect, Staff Automation Engineer, and Agentic AI Principal roles. Remote-first. Available for contract, full-time, or fractional engagements.