Abhilash Nelapati

B.Tech Computer Science graduate focused on building and integrating AI systems. Fine-tuned Whisper and Wav2Vec2 speech models achieving 95%+ accuracy and developed Generative AI applications using Gemini and FastAPI, including an AI career assistant and a multilingual voice assistant. Experienced integrating Hugging Face models into working pipelines with performance optimization. Seeking entry-level AI Engineer roles.

AI Assistant Intern at Swecha Telangana (2024-07 – 2024-09)

• Fine-tuned Whisper and Wav2Vec2 speech models, achieving 95%+ transcription accuracy on multilingual audio
• Built real-time speech synthesis and translation capability within a multilingual voice-assistant pipeline
• Optimized model inference performance by 40% through quantization techniques
• Built a Flask-based analytics dashboard for ASR pipeline monitoring, improving debugging efficiency by 35%
• Implemented audio preprocessing and silence-detection techniques for cleaner input pipelines

AI Research Intern at Swecha Summer of AI (2024-05 – 2024-06)

• Curated and processed 500+ hours of regional Telugu audio and text data for AI model training
• Contributed to culturally grounded Telugu language-model development using regional linguistic content
• Supported dataset quality, diversity, labeling, and representation for low-resource language applications

B.Tech in Computer Science and Engineering – Swarnandhra College of Engineering & Technology (2021 – 2025)

Intermediate in MPC – Sri Sai Junior College (2019 – 2021)