# Disha Harishkumar

> AI Software Engineer | Empowering Organizations with LLMs • RAG • Python • PyTorch | QA Automation (Selenium, API Testing, CI/CD) | MS in Computer Science | Open to Hybrid/Remote (U.S.)

Location: San Francisco Bay Area, United States
Profile: https://flows.cv/dishaharishkumar

I bridge the gap between "it works on my machine" and "it’s production-ready."

With over 5 years of experience, I specialize in building intelligent, agent-driven systems using LangChain, LangGraph, and RAG, while ensuring they meet the highest standards of reliability through advanced QA automation. Whether I am fine-tuning LLaMA models or architecting CI/CD pipelines for AI agents, my focus is always on scalability and measurable business impact.
I work across LLMs, AI agents, and multi-agent orchestration to design intelligent systems. I expose models and workflows through FastAPI and apply grounding and explainability methods to improve response accuracy and transparency. Additionally, I bring deep expertise in Selenium, API testing, and automation frameworks to ensure scalable, well-tested, and production-ready deployments.

Explore My Work
🌐 Personal Portfolio: https://disha-ai-compass.lovable.app/
📱 Featured Product: https://apps.apple.com/us/app/cherokee-dictionary/id6749212997
💻 Open Source & Code: https://github.com/dishaharishkumar

Recent Impact:
Lead Developer, Cherokee Dictionary: Engineered a 5-star iOS app processing 3,000+ linguistic structures; formally presented to the Cherokee Nation for its significant impact on language research and preservation.
AI Innovation: Built AI-powered tools using LLaMA, DistilBERT, and GPT models to process complex linguistic data, improving quality for research and product integrations.
Engineering Efficiency: Designed automation workflows that significantly reduced testing time and defect leakage across enterprise releases.
System Reliability: Led cross-functional defect triage and optimized QA environments to strengthen system reliability for large-scale platforms.
Product Excellence: Developed high-performance iOS applications using SwiftUI, including a language preservation tool with AI-driven morpheme breakdowns and a revamped expense-tracking app with optimized UI/UX that boosted user stability and engagement.

I am a Green Card holder (U.S. Permanent Resident) actively seeking opportunities to apply my skills in software engineering, AI integration, and automation to build high-impact solutions. My goal is to contribute to innovative teams, deliver measurable results, and drive long-term product success.

## Work Experience
### AI & Software Engineer @ Translation Commons
Jan 2024 – Present
•Focused on leveraging AI technologies to enhance the preservation of the Cherokee language, making it more accessible for learners and researchers.
•Cataloged 3000+ syntax and vocabulary structures of endangered languages, enabling scalable linguistic research and supporting long-term language documentation efforts.
•Designed an AI-powered chatbot to streamline contributor onboarding and resource matching, reducing manual effort and accelerating contributor support. 
•Led A/B testing and model validation achieving 92% model accuracy and enhancing overall system reliability.

### Software Engineer @ Candela Labs
Jan 2017 – Jan 2019 | Bangalore Urban district, Karnataka, India
•Played a vital role in software engineering projects by ensuring quality, reliability, and efficiency through development, rigorous testing, and quality assurance practices.
•Organized defect triage calls with cross-functional teams to streamline issue resolution processes.
•Worked onsite with client teams in Malaysia and Hong Kong.
• Maintained comprehensive documentation of software design, testing strategies, and defect resolutions.

### Software Engineer @ IBM
Jan 2016 – Jan 2017 | India
•Played a vital role in the development and maintenance of a billing gateway solution, being a crucial member of the Software engineering team.
•Organized and facilitated defect triage calls with cross-functional teams, including developers, product managers, and stakeholders, to streamline issue resolution processes
•Enhanced product quality and customer satisfaction by identifying and resolving software defects in collaboration with cross-functional teams.
•Maintained comprehensive documentation of testing processes, defect resolutions, and project status updates.


## Education
### Master's degree in Computer Science in Computer Science
Arizona State University

### Bachelor of Engineering - BE in Computer Science
Sri Siddhartha Institute of Technology


## Contact & Social
- LinkedIn: https://linkedin.com/in/dharishk
- Website: https://disha-ai-compass.lovable.app

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Source: https://flows.cv/dishaharishkumar
JSON Resume: https://flows.cv/dishaharishkumar/resume.json
Last updated: 2026-04-05