
vijaya vikhyath
@vijayavikhyath
I build voice AI, agentic RAG, and full-stack machine learning systems.
What I'm looking for
I built Telugu speech recognition at Soulax Software, fine-tuning Whisper on 35,000+ data points to achieve 0.09% WER and 0.06% CER.
I also optimized GEMBA evaluation with Qwen 3.5, reducing transaction-accuracy computation time by 20x across 1 million datasets and saving 144+ GPU hours.
I build end-to-end AI products, including a hands-free truck-driver copilot with Whisper, Claude, Piper, FastAPI, AWS, and PostgreSQL. My projects also include agentic RAG for financial research, a Django-based village governance platform, and a BERT-style transformer built from scratch.
I'm pursuing a B.Tech. (Hons.) in Civil Engineering at IIT Kharagpur while building practical systems across machine learning, LLMs, backend development, and deployment.
Experience
Work history, roles, and key accomplishments
Machine Learning Intern
Soulax Software Pvt. Ltd.
May 2026 - Jul 2026 (2 months)
Fine-tuned an ASR Whisper model for Telugu on 35,000+ data points, achieving a WER of 0.09% and a CER of 0.06%. Optimized the GEMBA evaluation algorithm with the Qwen 3.5 model, cutting transaction accuracy computation time by 20x across 1 million datasets.
Education
Degrees, certifications, and relevant coursework
Indian Institute of Technology Kharagpur
B.Tech, Civil Engineering
Grade: 7/10
Pursuing a B.Tech in Civil Engineering with a current score of 7/10, expected to graduate in 2028.
Narayana Educational Institute
Class XII (CBSE), General Studies
Grade: 89.8%
Completed Class XII under CBSE with a score of 89.8% in 2024.
Vijayam Techno School
Class X (CBSE), General Studies
Grade: 96.2%
Completed Class X under CBSE with a score of 96.2% in 2022.
Availability
Location
Authorized to work in
Salary expectations
Skills
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