Venkata Sai Surya Vidya Charan Bolem
@venkatasaisuryavidya
AI/ML Engineer building 0→1 LLM, RAG, and agentic systems with strong MLOps and product execution.
What I'm looking for
I’m an AI/ML Engineer and Ex-Co-founder who builds 0→1 AI products with a generalist focus across LLMs, prompt engineering, RAG systems, and custom AI assistants, bots, and agents. I like roles that combine technical depth with strategic thinking and execution focus.
Most recently, I co-founded Byte and led technology strategy, shipping production-grade MLOps workflows with K8s/KServe, cloud-agnostic deployment across AWS/Azure/GCP, and sub-2-minute model deployment times. Previously at Contentstack, I delivered ML/NLP search and metadata pipelines with up to 95% retrieval accuracy, implemented GenAI features (Vault, RAG-as-a-Service, LLM-based entries), and automated AI content retrieval that processed 500k+ queries. I also built knowledge-graph triple extraction and demand/sales forecasting models (95% accuracy) through earlier consulting work.
Experience
Work history, roles, and key accomplishments
Built an ML-based pipeline to automatically generate image metadata in the DAM system and improved ML/NLP-based search retrieval accuracy. Implemented GenAI capabilities including Vault, RAG-as-a-Service, and LLM-based content entries, and built automated AI content retrieval to handle customer queries at scale.
Co-Founder
Byte Remote
Sep 2025 - Mar 2026 (6 months)
Founded Byte Remote and led technology strategy for a unified control plane for AI/ML infrastructure, taking the product from concept to MVP. Built MLOps and model-serving workflows using Kubernetes and KServe with cloud-agnostic deployment across AWS, Azure, and GCP.
AI/ML Engineer I
Createbytes
Jul 2024 - Oct 2024 (3 months)
Developed an NLP pipeline to generate knowledge graph triples from unstructured text using a domain-specific ontology. Designed a multi-step approach without LLM prompting and also used LLM prompting (Phi3, LLaMA 70B, Mixtral, Claude) to generate and optimize triples.
Built and optimized machine learning models for sales prediction and demand forecasting. Implemented a GAN-based demand forecasting solution and developed statistical models to forecast marketing budgets from historical campaigns.
Education
Degrees, certifications, and relevant coursework
Indian Institute of Technology Delhi
Bachelor of Technology, Computer Science and Engineering
2020 - 2024
Grade: CGPA: 7.55/10
B.Tech in Computer Science and Engineering with a minor in Data Analytics and AI. Completed with CGPA 7.55/10 and coursework including Machine Learning, Deep Learning, NLP, AI, and Data Mining.
Sri Chaitanya Junior College
Intermediate
2018 - 2020
Grade: Marks: 978/1000
Completed Intermediate education under the Board of Intermediate Education, Andhra Pradesh, scoring 978/1000.
Dr. K. K. R’s Gowtham School
Secondary Education
Grade: CGPA: 10/10
Completed secondary education at Dr. K. K. R’s Gowtham School under the Board of Secondary Education, Andhra Pradesh, with CGPA 10/10.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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