Yogendra A

AI/ML Engineer with hands-on experience across the full ML lifecycle – data pipeline design, model training and evaluation, and integration into production backend systems (FastAPI, AsyncIO). Proven ability to optimize deployed models for latency and efficiency, demonstrated by a 98% inference-time reduction and 83% model-footprint reduction during an industry internship. Comfortable working end-to-end, from model development in PyTorch to deployment-ready services, with strong fundamentals in problem-solving and system design.

AI/ML Engineering Intern at L&T Technology Services (LTTS) (2026-02 – 2026-05)

Audio Intelligence

• Assisted in the design and development of machine learning algorithms for concurrent ML inference workloads, reducing end-to-end latency by 98% through pipeline redesign.
• Contributed to the integration of AI models into existing production systems, reducing model footprint by 83% and CPU utilization by 60% for deployment efficiency.
• Collaborated with cross-functional engineering teams to debug and resolve production issues across Windows/Linux environments involving third-party ML libraries.

B.Tech in Computer Science & Engineering – PES University, Bengaluru (2022-09 – 2026-07)