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Recently Added RPA Developers in our Network

Yk tripathi

Yk tripathiProfile Badge IC

Manager - AI and Automation13.2 Years of Exp
  • Python Programming
  • Python
  • Postgre SQL
  • data-science
  • NLP
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Results-driven and adaptable Data Scientist/Machine Learning with a successful track record in managing multiple priorities and delivering high-quality solutions. Proficient in NLP and machine learning techniques, with a focus on automating and processing vast amounts of text data. Recognized for expertise in using ML to analyze and extract insights from complex documents, such as bonds uploaded to the London Stock Exchange. Adept at developing and deploying unified models for classification and extraction, utilizing Sagemaker pipelines and hyperparameter tuning for optimal performance. Skilled in intelligence gathering, statistical analysis, and data mining, with a strong emphasis on attention to detail and written communication. A proactive problem solver with a passion for leveraging generative AI for Information Warfare. Experienced in technical entry into the Armed Forces, integrating the latest technology into existing frameworks and using ML to automate troop movement and supply management. Holds an M.Tech in Data Science and a B.Tech in Computer Science, along with certifications in machine learning, deep learning, cloud services, and more. Actively engaged in data science projects, including Eurobonds analysis at the London Stock Exchange and machine learning projects on Kaggle. A self-motivated professional with excellent organizational and time management skills.

Raj Kapadia

Raj KapadiaProfile Badge IC

Lead AI Engineer12.5 Years of Exp
  • Python
  • PyTorch
  • TensorFlow
  • MATLAB
  • Dialogflow
  • Qdrant
  • NLP/LLM
  • View all (9)

Highly skilled and experienced team lead in chat-bot development with over 6 years of freelance experience in AI/ML/DL project development on various platforms such as Google Dialogflow ES/CX and extensive background in teaching and electrical engineering.

Rohit Rawat

Rohit RawatProfile Badge IC

Senior Applied Scientist-I (Machine Learning Engineer)9.3 Years of Exp
  • Automated Testing
  • CI/CD
  • Data Structure
  • MLFlow
  • PyTorch
  • Snowflake
  • View all (9)

I am currently working as a Data Scientist at Grainger Canada, deploying machine learning models for customer-facing applications and working towards productionalizing LLMs. I have a Masters in Data Science, two degrees in Mathematics and have worked as an Analytics Manager in the FinTech domain. I'm a Databricks Certified Machine Learning Associate.I've developed machine learning models for recommending mutual fund schemes and used clustering methods to segment customers. Presently, I'm interested in MLOps and LLMs. I actively engage in Kaggle Competitions to discover novel methods to tackle varied data problems. My philosophy is to practice what I have learned and learn what I have not read before.

Vignan Malyala

Vignan MalyalaProfile Badge IC

Gen AI Engineer Manager (Delivery Lead)11.2 Years of Exp
  • machine_learning
  • data-science
  • Cloud DevOps
  • DevOps
  • Deep Learning
  • View all (7)

Principal Data Scientist/ Head of AI / Mentor with vast experience in building AI use-cases from scratch and deploying them to production. Amazing experience in GenAi, LLm fine-tuning , RAG, vector databases, NLP, Machine learning, Deep learning, transfer learning, working with LLM, MLOPS, deployment using aws, airflow, data bricks, pyspark, pipelining, containerization. Effective and proactive communicator with experience in leading teams and projects. Expertise in Computer Vision for OCR related information extraction from images, pdf parser, XML parser, box detection, entity detection and recognition, Data Mining, Data tagging, Data Analysis, Feature Selection & Model Selection, Model Building, Model Validation, Model threshold validation, log analysis.

Zafar Mansuri

Zafar MansuriProfile Badge IC

Associate Engineering Manager9.5 Years of Exp
  • Apache Kafka + Java 8
  • Java
  • AWS
  • langchain.js
  • Prompt Engineering
  • View all (7)

As an Engineering Manager, I bring extensive experience in leading and managing cross-functional engineering teams to deliver complex projects on time and within budget. With over years of experience in the field, I possess deep understanding of software development methodologies and practices. Throughout my career, I have successfully managed large-scale projects and teams, utilizing Agile and Waterfall methodologies. I have proven track record of implementing best practices and processes that have resulted in increased productivity, improved quality, and reduced costs. I am highly skilled in technical leadership, providing guidance and mentorship to my team members to develop their skills and achieve their career goals. I am well-versed in software development life cycle (SDLC) processes, including requirements gathering, design, development, testing, deployment, and maintenance. TECHNICAL SKILL SET

Amith K A

Amith K AProfile Badge IC

Head of AI & Engineering16.5 Years of Exp
  • machine_learning
  • Deep Learning
  • Azure
  • SAS
  • System Design
  • View all (7)

Amith KA is a seasoned professional with 14.5 years of expertise in leadership, management, and a comprehensive skill set spanning data engineering, data science, and systems design. Proficient in engineering best practices, data architecture, and cloud platforms such as GCP, AWS, and AZURE, Amith excels in full-stack development and employs tools like Terraform for efficient infrastructure management. With proficiency in Python, TensorFlow, PyTorch, and BigQuery, Amith is a specialist in machine learning, deep learning, MLOPS, and Kubernetes. Additionally, expertise in areas like NLP, computer vision, and generative AI, along with a strong background in security and Docker, further underscores Amith's impact in the industry.

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10 Common Pitfalls to Avoid When Hiring an RPA Developer

According to the reports by McKinsey, 31% of businesses have fully automated at least one of their business functions. Business automation has been taken by the market to keep pace with the evolving landscape. Hiring the right remote Robotic Process Automation (RPA) developer has become more vital than before.

The Ultimate Guide to RPA Developer Roles, Responsibilities, and Must-Have Skills

Let’s imagine your SaaS business operating like a well-oiled machine where monotonous tasks are handled by bots. This frees up your team considerably to focus on creative and high-value work. Doesn’t this sound like a dream?

Frequently Asked Questions

Uplers ensures a seamless hiring experience by combining AI and human intelligence to vet top-quality RPA developers. You receive carefully shortlisted profiles within 48 hours and can onboard the right talent in as little as 2 weeks, helping you hire faster without compromising on quality.

You can receive the top 1% shortlisted RPA developer profiles within 48 hours through Uplers. Once you finalize the most suitable RPA developer, Uplers handles the entire hiring and onboarding process. Depending on your requirements and decision-making timeline, onboarding typically takes 2-4 weeks.

The modes of communication through which you can get in touch with a hired RPA Developer include:

  • Email
  • Phone
  • Messaging apps such as WhatsApp, Slack, or Microsoft Teams

If the developer doesn’t meet your expectations, we offer a 90-day replacement guarantee for full-time hires and a lifetime replacement for contract roles, at no additional cost. Additionally, you can opt for a 30-day cancellation policy with no extra charges, giving you complete flexibility to make changes as needed.

The average cost of hiring a RPA Developer from Uplers starts at $2500. The number varies depending on the experience level of the developer as well as your requirements.

View Our Pricing For 2025 - 26

Yes. RPA developers in the Uplers network are evaluated for English proficiency and overall suitability for work environments. Beyond language skills, cultural alignment is also assessed to help ensure smooth integration with your team, enabling productive interactions and long-term success.

The network includes RPA developers and automation specialists across major platforms such as UiPath, Automation Anywhere, Blue Prism, and Microsoft Power Automate. Expertise spans attended and unattended automation, workflow orchestration, intelligent document processing, bot development, process automation architecture, API integrations, workflow analytics, and enterprise automation governance for business operations across finance, healthcare, logistics, customer support, and enterprise IT environments.

Yes. RPA developers can be matched based on domain expertise across industries such as BFSI, healthcare, logistics, HR, manufacturing, retail, and enterprise operations. Their experience includes automating industry-specific workflows such as claims processing, KYC verification, ERP data handling, payroll automation, inventory reconciliation, compliance reporting, onboarding workflows, and document processing, helping reduce implementation time and improve automation accuracy for real-world business operations.

Yes. RPA developers in the network are matched based on your preferred time zone and working-hour overlap requirements, with many experienced in collaborating across US, UK, EU, and APAC schedules. This supports real-time coordination during process discovery workshops, bot testing, UAT sign-offs, deployment activities, and ongoing automation support.

Yes. You can conduct your own technical interview or request a live bot demonstration before making a hiring decision. This may include workflow walkthroughs, process automation discussions, bot architecture reviews, use-case evaluations, and platform-specific assessments using tools such as UiPath, Automation Anywhere, Blue Prism, or Power Automate to validate the developer’s expertise and suitability for your requirements.

Yes. Experienced RPA developers can manage ongoing bot operations, including monitoring automation workflows, handling exceptions, maintaining bot stability, optimizing performance, and updating automations when underlying applications or business processes change. Their expertise also includes orchestrator management, queue monitoring, failure recovery workflows, scheduling, logging, and long-term automation maintenance across enterprise RPA environments.

Yes. Automation teams can scale gradually based on your automation roadmap and business needs, starting with a single RPA developer and expanding into a broader team that may include additional bot developers, RPA architects, automation analysts, and maintenance specialists. All profiles are sourced through the same shortlisting process and can work under a unified engagement structure to support long-term enterprise automation growth.

Yes. Many RPA developers in the network specialize in Intelligent Automation by combining traditional RPA workflows with AI, OCR, NLP, and document intelligence capabilities. Their expertise includes intelligent document processing (IDP), AI-powered workflow automation, email and document classification, computer vision-based automation, process mining, and integrations with platforms such as UiPath Document Understanding, Automation Anywhere IQ Bot, ABBYY, Hyperscience, and other enterprise automation tools.

Yes. Experienced RPA developers can conduct process discovery and automation feasibility assessments to identify which business workflows are best suited for automation. This includes analyzing process complexity, rule-based decision flows, exception frequency, operational volume, system stability, and potential ROI, along with creating process documentation and identifying opportunities for RPA, intelligent automation, or process optimization initiatives.

Yes. Experienced RPA developers implement enterprise-grade security and governance practices including secure credential management, role-based access control, audit logging, bot activity monitoring, environment segregation, and compliance-aware automation workflows. Their expertise also includes secure orchestrator configuration, access governance, exception tracking, and automation standards designed for regulated industries and large-scale enterprise environments.