Rajesh Karka
Sr Staff engineer @ Tanla Platforms Limited
About
Key Achievements in AI and Data Engineering Mock Data Generator Using AI Innovation: Designed a sophisticated tool utilizing Python, GPT-3.5-turbo, and GPT-4 to generate anonymized, schema-compliant healthcare datasets. This solution ensures data privacy while maintaining realism, aiding in analytics and operational testing. Model Training: Built supervised learning pipelines to fine-tune language models for healthcare-specific terminology, schemas, and data constraints. Leveraged domain-relevant datasets from platforms like Kaggle to train models for improved schema understanding and pattern generation. Implementation: Utilized Google Colab for efficient model experimentation and hyperparameter tuning with GPUs, enabling scalable, diverse mock data generation for production environments. Data Quality Framework for Streaming Data Framework Development: Architected a scalable framework for real-time streaming data validation, anomaly detection, and rule-based assessments using Python and large language models (LLMs). Unsupervised Learning: Applied clustering algorithms like K-means and DBSCAN, along with anomaly detection techniques, to uncover patterns and irregularities in unlabeled streaming datasets. Datasets from Kaggle were instrumental in testing models under diverse conditions. Real-Time Application: Deployed models into real-time data pipelines, enhancing accuracy in validating and detecting anomalies in large-scale environments, including IoT, financial transactions, and vehicle telemetry. Prototyping and validation utilized TensorFlow and Google Colab. AI-Powered Decision Framework for Message Routing Reinforcement Learning (RL): Developed RL models leveraging policy-gradient algorithms and Markov Decision Processes (MDPs) to improve decision-making strategies in fraud detection for financial systems. Simulation environments were created to mirror real-world conditions using OpenAI Gym and TensorFlow. Supervised Learning Integration: Trained supervised models on historical transaction data, achieving robust fraud detection capabilities. Metrics such as precision, recall, and F1 score were used for fine-tuning, leveraging Kaggle datasets for rigorous evaluation. Deployment: Integrated AI-powered decision models into live systems, enabling real-time anomaly responses and routing efficiency. Cloud-based platforms ensured scalability, while continuous feedback loops allowed models to adapt to evolving fraud patterns.
India
Hyderabad
Computer Software
Generative AI, Large Language Models (LLM), Dataframe, Artificial Intelligence (AI), Supervised Learning, Amazon EKS, Azure, AEM, MongoDB, Kubernetes, Docker, DevOps, Linux, vdi, guacamole, Microsoft Azure, Microservices, Spring Boot, Representational State Transfer (REST), Agile Methodologies
Experience

Independent Consultant

Technical Architect
American Express
Phoenix, Arizona Area
Implementation of asset review system which involves more than 10 groups involves in the review system within their campaign. This also extended to international market for other asset review system for AMEX. Improves quality of review process for marketing teams for all of their communication channels and agencies. Responsibilities: • High Level Designs for the modules into the review system. Along with Sales Force integration and building review sysem. • Identification modules depending on the international market and building in generic and reusable API / services to maintain coding robust, scalable and long term sustainable approaches. • Problem solving and training team on required skills for the project. • Proof of concepts for new products and other CMS sytem migrations in AMEX account. • Customizations on DAM workflow process including DAM workflow launchers and approval process, Activation workflows and sling event handlers etc. • Hands on experience Digital assets including renditions, metadata, asset editor, OOTB DAM workflows and extending DAM features. • Implement Adobe CQ architecture by building components, templates, custom designs, prototyping, data migration, maintaining technical integrity and consistency, documenting system. • Responsible to implement and provide CQ Service end points using Sling, Jack Rabbit, JCR, and OSGi. • Coordination & communication with Business, Program management, Development, offshore & onsite teams including functional product teams & wider stakeholders across globe/cultures during testing phase. • Responsible for identifying risks and planning mitigation, capturing dependencies and tracking assumptions. • Responsible for initial design and demonstration to stakeholders with POC. • Lead and facilitate information gathering sessions to validate business cases, gather and document business and functional objectives.

Technical Architect
Greater Atlanta Area
One of the big project as part of ATT migration from Team Site to AEM (6.1) to help content authors by providing easy way to author and migrate content and helping end users by implementing Responsive design in mobile view ports. - Lead large scale Adobe Experience Manager (AEM) and CQ implementations. - Prepare and implement detailed technical designs, components and services layers. - Lead design and coding reviews as per the standerds and reusable components and services. - Effectively communicate architecture and design projects over the multiple teams. - Provide technical direction in developing solutions. - Identifies, assesses and solves complex business problems. - Follows the strategic direction set by leadership. - Implement Adobe CQ architecture by building components, templates, custom designs, prototyping, data migration, maintaining technical integrity and consistency, documenting system. - Responsible to implement and provide CQ Service end points using Sling, Jack Rabbit, JCR, and OSGi. - Coordination & communication with Business, Program management, Development, offshore & onsite teams including functional product teams & wider stakeholders across globe/cultures during testing phase. - Responsible for identifying risks and planning mitigation, capturing dependencies and tracking assumptions. - Responsible for initial design and demonstration to stakeholders with POC. - Lead and facilitate information gathering sessions to validate business cases, gather and document business and functional objectives.

AEM Consultant (FullStack Developer)
United States
Cinco is to build a new, scalable social intranet to replace the existing Cinco that gives employees easy, everywhere access to timely and relevant company information, resources, and tools to help make them more productive and successful at work, and that elevates LinkedIn’s unique culture and values. Responsibilities: • Integration of frontend framework with AEM including (Bootstrap, LESS etc.) and handing over client libs to web developers to use. • Responsible to implement and provide CQ Service end points using Sling, Jack Rabbit, JCR, and OSGi. • Good understanding of Content Management systems and integrations. • Good understanding of various application frameworks like Agora, Play, Lips-be multi products and deployment architecture. • Develop project technology strategy by understanding key client objectives, diagnosing and mapping client requirements, articulating solution risks and barriers, recommending project approaches, preparing time and cost estimates. • Lead and facilitate information gathering sessions to validate business cases, gather and document business and functional objectives. • Implement Adobe CQ architecture by building components and custom designs, prototyping, data migration, maintaining technical integrity and consistency, documenting system. • Design and implement Adobe CQ Templates, Components, libraries based on CRX, CQ and sling guidelines. Manage customer relationship by communicating Adobe CQ architecture standards and frameworks, answering questions, resolving concerns and issues. • Proficiency in architecting and designing a solution using Adobe CQ product suite and review the detailed designs. • Recommend best of breed customer solutions, based upon existing products and/or custom work. • Establishing architectural and development standards around Adobe CQ and associated technologies viz. CRX, sling, JCR etc. • Ability to advise on implementation strategy, performance, tools, operations, release and deployment.

Tech Lead
TechAspect Solutions Inc.
USA
Review the CQ requirements and high level design, detailed design for all use case interactions.Design and Develop required CQ components for all interfaces,Unit tests all the interfaces and captures the test results

SSE
technically lead software projects through all stages of the life cycle,including responsibility for requirements capture, design, development and acceptance testing,produce high quality technical documentation for our customers, Decompose technical tasks and provide accurate estimates,coach less experienced members of team.
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