Headline

Lead AI & Automation Engineer | RPA | Gen AI | Agents | Full Stack | UiPath Certified Professional Automation Developer

About

I am a results-driven Lead Software Developer / Intelligent Automation Specialist with 2.6+ years of experience delivering large-scale automation programs across Finance, IT, Operations, and FinTech domains. I have successfully led end-to-end automation delivery, owning everything from process discovery and feasibility analysis to production deployment, hypercare, and change management. Over the past 2.6 years, I have automated 40+ enterprise-grade processes, predominantly in SAP and complex financial systems, delivering measurable improvements in efficiency, accuracy, and cost reduction. My work spans SAP financial reporting, budget and treasury automations, invoice processing, vendor onboarding, IT access management, Salesforce automations, Employee Onboarding Automation, and large-scale data migrations. I have extensive experience working directly with clients at on-site locations, managing multiple projects simultaneously, leading customer-facing POCs, and translating business requirements into scalable automation solutions. I currently lead a team of 4 developers, providing technical guidance, design reviews, and delivery ownership across multiple parallel projects. In addition to RPA, I actively work on AI-first and Agentic Automation initiatives, including Generative AI, LLM-based document extraction, Agentic RAG, and AI-driven procurement workflows. I have hands-on experience with UiPath AI Center, IBM WatsonX AI & Orchestrate, CrewAI, LangChain, MCP, and Python-based AI solutions, and I regularly participate in UiPath and IBM Agentic AI workshops. Key Highlights: Delivered end-to-end RPA programs covering PDD, SDD, development, testing, UAT, deployment, and hypercare Led 40+ automations across SAP, Finance, IT, Salesforce, Azure AD, Excel, OneDrive, and Web systems Built intelligent vendor onboarding and invoice processing solutions using APIs, AI models, and Flask based applications. Designed and deployed UiPath Apps-based enterprise interfaces for business users Strong stakeholder communication, client management, and cross-functional collaboration Creating significant operational impact: 40% reduction in end-to-end processing time ~30% cost savings through manual effort elimination Improved data accuracy and compliance in finance and audit-critical processes Faster business turnaround through real-time reporting and automation-led workflows I am passionate about building scalable, maintainable, and business-centric automation solutions that go beyond task automation and move organizations toward Intelligent & Agentic Automation.

Location

Bengaluru

AI stack

claude code

claude

codex

hugging face

langchain

mcp

Work experience

Lead - AI & Automation at Catnip Infotech Private Limited, May 2026 - Present · 6 mos, Bengaluru

Lead Software Developer at Catnip Infotech Private Limited, Apr 2025 - May 2026 · 1 yr 2 mos, Bengaluru, Karnataka, India

Software Developer at Catnip Infotech Private Limited, Jun 2023 - Apr 2025 · 1 yr 11 mos, Bengaluru, Karnataka, India

Full Stack Developer Intern at Rail Wheel Factory, Jan 2023 - May 2023 · 5 mos, Bengaluru, Karnataka, India, Developed a full-stack web app with C#, HTML, CSS, JavaScript, and SQL Server for automating manual processes and integrating all business activities. Improving efficiency and productivity by reducing errors and enhancing management capabilities, accuracy, and real-time information for better decision-making and workflow. Implemented data export functionality using jQuery to enable export of data to Excel, PDF, and CSV formats. Technologies used: ASP.NET MVC 6, C#, Razor, Dapper ORM, Repository Pattern, SQL Server.

Data Science Intern at Analytica, Jan 2022 - Feb 2022 · 2 mos, India, Worked on a Market Research Project upon interests in career domains by the students across India. Gathered data, Data preprocessing, Performed EDA and gained insights through Visualizing. Created visualizations and presentation of findings for upper management which resulted efficiency by10%. Utilized Python, Python libraries (Pandas, Numpy, Seaborn, Matplotlib), Jupyter Notebook to clean and analyze data set with over 300 entries.

Education

Bachelor of Technology - BTech, Computer Science and Engineering, Presidency University Bangalore

12th Grade, PCMC, KMWA PU College DEEKSHA