Nihal Rao Email & Phone Number

Austin, Texas, Us

- Pioneering the application of LLMs to enhance observability in ITSM, elevating system responsiveness and predictive capabilities by 20%.- Automate the generation of runbooks/workflows using LLMs, reducing manual process time by 35% and increasing operational efficiency in the ITSM product.

Austin, Texas, Us

- Integrating advanced LLMs into ITSM products, which can result in a 30% improvement in assistive and automation features.- Boosted AIOps services by employing innovative observability strategies, achieving a 20% increase in real-time insights and performance enhancements.- Contributed to the development of advanced algorithmic capabilities, playing a key role in enhancing Root Cause Analysis efficiency.- Engineered anomaly detection solutions that optimized resource usage and scalability, leading to a 45% improvement in overall system performance.- Delivered outstanding results by achieving remarkable anomaly detection latency and accuracy.

Bengaluru, Karnataka, In

- Architected a robust mobile ML pipeline leveraging TensorFlow Lite, slashing compute costs by 50% and doubling cost-efficiency for client deployments.- Engineered a sophisticated retail loss prevention system using deep learning techniques, halving shrinkage events and delivering substantial cost savings to clients.

Bengaluru, Karnataka, In

- Developed core ML modules for predictive analytics in retail, quintupling client revenue through data-driven decision-making and actionable insights.- Pioneered DL-based SKU recognition and product detection systems, enhancing inventory accuracy by 40% and streamlining logistics for large-scale retail operations.- Created a robust image stitching pipeline, ensuring accurate product counts across consecutive images, reducing duplication and inventory errors.

Bangalore, Karnataka, In

- Led advanced R&D initiatives in computer vision and deep learning, deploying custom solutions that enhanced functionality in automotive and media sectors, significantly improving surveillance accuracy and media content analytics.- Developed and implemented a deep learning-driven face recognition system, enhancing security protocols by 30% through improved authentication accuracy in high-security areas.- Engineered robust traffic sign and road lane recognition algorithms, increasing the safety and navigation precision of autonomous vehicle systems by 20%, crucial for real-world application.

Bangalore, Karnataka, In

- Played a pivotal role in multidisciplinary R&D teams, applying computer vision and deep learning to develop scalable solutions that improved operational efficiency by 25% across multiple domains.- Designed an advanced metadata generation system using machine learning, enabling precise indexing and 50% faster retrieval of video content in extensive media libraries.- Developed a high-accuracy text detection and recognition system, boosting information extraction efficiency by 35% across diverse digital platforms.- Created sophisticated action-identification modules for video analytics, enhancing event detection accuracy by 40%, thus bolstering surveillance capabilities and media content analysis.- Innovated scene-identification algorithms that improved content accessibility and classification, enabling automated caption generation that enhanced viewer engagement by 25%.

Bachelor Of Engineering (B.E.), Computer Science

12Th, Pcme