Sriharsha Vadavalli
SWE at Parsewave | Former Analyst Intern at Bain & Company | Former AI Intern at Bharat Electronics | VIT CS, Class of ’26
Hyderabad
2+ years of work experience
Jul 20262 mosPresent
San Francisco Bay Area
Generating data to enhance the performance of state-of-the-art frontier models.
Jan 20267 mosJul 2026
Gurugram
◦ Built and automated an electronics data categorization pipeline by clustering delta items with legacy datasets and transitioning from SBERT + FAISS to TF-IDF + KNN for post-clustering classification, reducing inference latency by ∼50% while improving mapping efficiency and scalability.
◦ Architected an end-to-end automated data improvement pipeline using recall/precision-driven taxonomy analysis, LLM-powered FP/FN validation, and seamless ICV integration, optimizing 500+ taxonomies across 5 merchants and improving 80K+ data items.
May 20253 mosJul 2025
Bengaluru
◦ Leveraged Large Reconstruction Models (LRMs) and computer vision techniques to generate high-fidelity 3D assets from low-resolution military tank imagery, improving reconstruction quality from limited viewpoints and sparse visual information.
◦ Fine-tuned OpenLRM using Masked Autoencoders (MAE) and BERT-based semantic embeddings, applying data preprocessing, feature engineering, and model optimization techniques to improve tank-specific representation learning and 3D mesh generation quality.
Jan 20259 mosSep 2025
Vellore, Tamil Nadu, India
Jan 20241 yr 1 moJan 2025
Vellore, Tamil Nadu, India
Sriharsha’s AI Stack
Education
Bachelor of Technology - BTech, Computer Science Engineering
Vellore Institute of Technology
20224 yrs2026
FIITJEE
20202 yrs2022
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