Saiteja D

Developed and deployed LLM-based solutions for language generation and text embeddings, focusing on enhancing NLP tasks.
Worked extensively with Whisper speech-to-text models to generate accurate transcriptions of customer-agent interactions.
Implemented Flan summary generation models to automate the creation of concise, accurate summaries of customer service calls, optimizing operational efficiency.
Designed and automated the end-to-end pipeline for call transcription and summarization, integrating cloud platforms for scalability and reliability.
Utilized advanced data structures and algorithms to improve model efficiency and reduce processing time.
Expertise in LLM frameworks such as Hugging Face Transformers, GPT.
Proficient in Python, TensorFlow, and PyTorch for model development.
Strong foundation in data structures, algorithms, and software engineering principles.

- Interned at MAQ Software, gaining experience in mobile app development with Microsoft Power Apps.

- Actively contributed to the development of functional and user-friendly mobile applications.

- Served as a support engineer, providing troubleshooting and assistance to ensure seamless application functionality.