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Anand Bonthu
Senior Technical Ai Architect Manager @Credence
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WORK HISTORY
Senior Technical Ai Architect Manager @Credence
Agentic AI Architecture: Leading an 8-engineer team to architect and deploy mission-critical AI platforms for defense logistics, utilizing MemGPT and AutoGen for advanced context preservation.High-Velocity Deployment: Leveraged Claude extensively to accelerate development cycles, delivering a mission-critical logistics system for F-15/F-16 fighter planes within an accelerated development/deployment timeline.Enterprise-Grade Security: Engineered secure infrastructure using LangGraph, Pinecone (VectorDB), and MCP, while implementing multi-layer access controls including RBAC, ABAC, and ReBAC.End-to-End Ownership: Directing the full software lifecycle from initial high-stakes Proof-of-Concepts (POCs) to final production deployment for Defense executives.
EDUCATION
Harvard University
Graduate Certificate, Data Science
Andhra University
B.E, Engineering
St Josephs School
High School
SKILLS
ABOUT ANAND BONTHU
Principal Engineer/ Manager AI/ ML with 20+ years working in the Bay Area, with significant, in-depth Industry experience developing and managing products in the Machine Learning/ AI Model development, Gen AI, RAG, Agentic AI, MCP, A2A protocols, fine-tuning, Transformer models, LSTM, CNN/RNN, GAN. Experience Working with wide range of companies from early-stage startups to enterprise companies. Highly motivated and goal oriented, driving change and cultivating success through grassroot efforts. Deep expertise in Cloud Infrastructure, Docker, Kubernetes, AWS, Cloud Technologies, Data pipeline. Experience in building teams, how to set a team culture, navigate challenges, collaborate effectively, and inspire others to increase team performance.Worked with 5 startup which all got acquired by big companies: Woodruff Sawyer acquired by AJG (Arthur J Gallagher), Catalina Labs (acquired by Asurion), Redback Networks (acquired by Ericsson Networks), World Wide Packets(acquired by Ciena Networks), Intoto (acquired by NXP)Machine Learning Skills: 8+ years of experience in Machine Learning. Expertise in building transformer-based architecture, Model Fine-Tuning, Agentic AI, advanced RAG Techniques, Prompt Engineering, security in LLM, Databricks, Kubernetes (Kubeflow). Experience with PyTorch frame works and vision Transformers. Experience developing Traditional ML Modelling, supervised and unsupervised, Linear/ Logistic Regression, Isolation Forest, SVM, RF, kNN, XGBoost, Clustering, Naive Bayes, PCA, LDA, QDA, Lasso / Ridge, Decision Trees, Ensemble model, Deep Learning, CNN, RNN, GNN using Databricks and Jupyter notebooks, Pytorch, SparkMLib, Amazon Sagemaker. Worked with Time-Series Data and Geospatial Datasets. Data mining/cleaning, Data Visualization with Neo4j, D3.js. Currently Working with LLM’s like OLlama, Mistral, Gemini, Open AI, GPT 4, GenAI, Vertex AI, Pinecone, FAISS.Data Engineering: AWS, Databricks, Sagemaker, EC2, Kinesis/Kafka/Redis, Docker, Kubernetes, Containerization, CloudFormation, IAM, DynamoDB, S3, Redshift, Lambda, VPC, CloudFront, Route 53, API Gateway. Networking Experience: Worked on protocols like IPv6, IPv4, BGP, OSPF, ISIS, RIP, L3VPN, MPLS, RSVP, LDP, IGMP, VPLS, QoS, RSTP, LAG, IPsec in C/C++.Tech Skills: C, C++, Python, R, Java, Scala, PySpark, Databricks, Kafka, Kubernetes, Jenkins, AWS.Startup Experience: Worked with 6 Startup Companies of which 5 Got acquired
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