Ananya Naga Raj

About Ananya Naga Raj

As I navigate through the fascinating landscape of artificial intelligence and machine learning at Syracuse University, I find myself constantly inspired by the potential of technology to make a difference. My journey has been about more than just coding; it’s about creating solutions that resonate with real-world challenges. One project that stands out is SafeVoice AI, where I worked on detecting emotional and verbal abuse through voice analysis an initiative that truly reflects my commitment to using technology for good.In my role as a Software Developer at iConsult Collaborative, I’ve had the opportunity to contribute to GlamScan, an advanced image analysis platform. By enhancing client engagement by 30%, I learned how tailored software solutions can significantly improve user experiences. Debugging backend issues has become second nature to me as I strive to ensure seamless functionality in every project I tackle.Before my current roles, I honed my skills at Selfy Page Developers Limited in India, where I supported backend development for a book publishing platform. Implementing features that improved system functionality was rewarding it taught me how impactful well-structured code can be on user satisfaction.Outside of work and studies, I’m always eager to learn more about emerging technologies and trends in AI/ML. Whether it\'s attending workshops or collaborating on side projects with peers, I\'m passionate about expanding my knowledge base while contributing positively to the tech community.If you’re interested in discussing innovative software solutions or exploring collaboration opportunities in AI/ML projects, feel free to reach out via email! Let’s connect and see how we can create something meaningful together.Skills: Python | PyTorch | Hugging Face | Backend Development | API Development | Debugging | System Optimization

Experience

1. Software Development Engineer

   JPMorganChase

   Aug 2025 — Present · US

   Planned and deployed AI-driven microservices using Python and RAG-based LLM pipelines, improving automation of internal workflows by 45% and reducing manual processing time- Built scalable backend systems and REST APIs supporting high-volume financial data processing, improving API response time by 35% and ensuring low-latency performance- Developed semantic search and retrieval pipelines using FAISS and LangChain, increasing accuracy of knowledge retrieval systems by 40% across enterprise datasets- Implemented real-time data pipelines using PySpark and Kafka, enabling processing of large-scale transaction data and improving data throughput by 30%- Deployed machine learning models on AWS (EC2, S3, Lambda) using Docker and Kubernetes, which helped streamline deployments, improve efficiency by around 50%, and maintain high system availability- Improved CI/CD pipelines using Jenkins and GitHub Actions, reducing release cycle time by nearly 40% and making deployments more reliable and consistent- Executed monitoring and observability using Prometheus, Grafana, and ELK Stack, which optimized visibility into system performance and reduced incident resolution time by about 30%- Collaborated closely with product managers, analysts, and engineering teams to understand requirements and deliver AI-driven solutions, helping speed up project delivery timelines by approximately 25%

Education

• Syracuse University

  Master's Degree, Computer Science

• Arunodaya Vidya Kendra

  School

• Alva's College, Moodabidri, Karnataka

  Pre-university, PCMB

• Adichunchanagiri Institute of Technology

  Bachelor of Engineering - BE, Computer Science