Mohith D.

Mohith D.

United States of America
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About Me

Dynamic Senior Full Stack Developer with over 11 years of experience delivering high-performance, enterprise-grade web applications. M. D. specializes in building sophisticated frontend experiences using React.js and Next.js, with a particular focus on complex administrative dashboards and logic-driven survey workflows. Currently serving as a Senior Developer at Qualtrics, he possesses deep domain expertise in the Qualtrics API (XMD, Surveys), managing the end-to-end survey lifecycle, from automated distribution and audience targeting to real-time response tracking and data extraction.

Beyond his Qualtrics specialization, Mohith is highly proficient in building scalable backends using Python (FastAPI, Django), ensuring seamless integration between frontend interfaces and complex data architectures. He has a proven track record of developing CMS-governed survey systems within HIPAA-compliant healthcare environments, emphasizing secure data handling and RBAC. A cloud-native expert, he is adept at deploying containerized applications (Docker, Kubernetes) via AWS and GCP, and is increasingly focused on enhancing product experiences through AI-powered workflows and RAG systems. Robust experience in Agile delivery, he is a self-directed engineer who excels at translating complex business rules into maintainable, "logic-correct" technical solutions.

AI, ML & LLM

Pytorch XML Airflow OpenAI LangChain Langgraph Langsmith GPT-4

Frontend

Backend

Database

DevOps

Informatica Cloud AWS EC2 CloudWatch Azure Terraform GCP Cloud Functions Cloud Run Cloud Storage Jenkins GitLab CI/CD Docker Kubernetes ELK Stack CI/CD

QA & Testing

Workflow

Other

Work history

Qualtrics LLC
Sr Full Stack Developer
2025 - 2026 (1 year)
Remote
  • Developed and maintained automation solutions for CMS-governed healthcare survey projects, enabling end-to-end automation of survey distribution, response collection, and data processing workflows

  • Integrated Qualtrics XMD web application APIs to automate survey distribution, response tracking, and retrieval of survey data from the Qualtrics platform

  • Ensured all data handling and processing workflows complied with HIPAA standards, maintaining strict privacy and security requirements for healthcare-related data

PythonSQLFastAPIFlaskPandasJSONQualtrics APIs SPSS AWSJenkinsGitLab CI/CD DockerMySQLFileZilla GitJIRA
PenFed Credit Union
Sr Python Developer
2022 - 2025 (3 years)
Remote
  • Developed Django services for user onboarding, KYC document intake, and internal review dashboards with multi-role access control, and built FastAPI microservices for ML model inferences and rule-based loan credit decisions

  • Designed and developed reusable React components for user onboarding, document upload, and status tracking dashboards, integrated RESTful APIs built in FastAPI and Django into React UI with Axios and Redux

  • Developed and deployed Python-based automation scripts to orchestrate critical batch jobs and data processing pipelines over Oracle 19c on-premises infrastructure, integrating Python applications with Oracle using cx_Oracle

Tufts Health Plan
Python Developer
2020 - 2022 (2 years)
Remote
  • Analyzed business requirements and translated them into technical designs, implemented ELK Stack (Elasticsearch, Logstash, Kibana) for customer name search pattern analysis, and developed complete frontend and backend modules using Python with Django Web Framework and Angular

  • Designed and implemented an LLM-powered clinical assistant using OpenAI GPT-4 and LangChain to assist healthcare providers with real-time medical documentation, and developed a RAG system to enable semantic search across EMR/EHR records using Pinecone and ChromaDB

  • Built DAGs in Apache Airflow to automate and monitor data pipelines and reporting tasks, reducing manual workloads by 70%, and integrated Airflow with enterprise monitoring tools for real-time observability

Orbinet Technologies
Python Developer
2017 - 2019 (2 years)
Remote
  • Developed Python and Bash tools to enhance application system efficiency, automate data conversion, and integrate APIs using AMQP/RabbitMQ, REST, JSON, and CRUD operations

  • Designed and implemented Ansible playbooks and roles to automate server provisioning, software deployment, and configuration management across various environments (Dev, QA, Prod)

  • Built and maintained a highly responsive enterprise dashboard application using Angular with RESTful API integration, and integrated ReactJS frontends with Python-based CMS ensuring performance optimization

Intelex Systems
Python Developer
2014 - 2016 (2 years)
Remote
  • Developed automation tools using Python, Shell scripting, and XML to streamline repetitive tasks and improve efficiency, and developed microservices for distributed systems using Python ensuring RESTful API contracts and service isolation

  • Designed and implemented frontend and backend modules using Python on the Django Web Framework, and built DAGs in Apache Airflow to automate and monitor data pipelines and reporting tasks

  • Configured Elastic Load Balancers (ELBs) and Auto Scaling groups on production EC2 instances to ensure fault tolerance and high availability, and deployed and managed services using Kubernetes with load balancing and zero-downtime deployments