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Production AI · Enterprise Scale

AnudeepsriBathina

I architect AI systems that survive real-world scale. 11 years turning demos into deployments.

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01

More Than Just Code

Unlike generalist developers or pure academics, I bring a hybrid expertise: deep research rigor combined with battle-hardened production engineering.

I don't just build models that work in notebooks; I engineer resilient systems that survive real-world scale.

11 Years. Zero Demo-Only Models.

Everything ships to production

AT&T
Gen AI
Capgemini
Tech Lead
Gain Insights
ML Engineer
Full Journey
03

Technical Arsenal

Building reliable, secure, and observable AI systems.

Agentic AI & Orchestration

Multi-agent systems, reasoning engines & tool-use

LangGraph / CrewAI
Stateful multi-agent graphs with conditional routing & autonomous orchestration
MCP (Model Context Protocol)
Anthropic's open standard for agent ↔ server tool-use and context sharing
OpenAI o3 / o4-mini
Chain-of-thought reasoning, function calling, and structured outputs
Claude 4 / Gemini 2.5
Extended thinking, agentic coding, multimodal reasoning, million-token context

RAG & Knowledge Architecture

Enterprise retrieval, grounding & search systems

Advanced RAG Pipelines
Agentic RAG, corrective retrieval, self-reflection, and hybrid search
Vector Databases
ChromaDB, Pinecone, Azure AI Search, Qdrant for enterprise-scale retrieval
GraphRAG & Knowledge Graphs
Structured reasoning over entity relationships and multi-hop retrieval
Embeddings & Reranking
Cohere Rerank, BGE, ColBERT for semantic search with late interaction

AI Safety & Evaluation

Guardrails, observability & production trust

LangSmith / Langfuse
Trace-level observability, eval datasets, and production monitoring
Guardrails & Grading
Hallucination detection, relevance grading, and citation verification
Presidio (PII/PHI)
Healthcare-grade PII and PHI anonymization for regulated industries
Red-teaming & Evals
Adversarial testing, LLM-as-judge pipelines, and RAGAS benchmarks

AI-Native Development

Agentic coding & AI-powered engineering

Claude Code / Codex CLI
AI-native terminal agents for architecting and shipping production systems
Cursor / Windsurf
AI-first IDEs with deep codebase understanding and multi-file edits
GitHub Copilot
Agent-mode code generation, refactoring, and review assistance
A2A (Agent-to-Agent)
Google's open protocol for cross-agent communication and task delegation

Cloud & Production Systems

Enterprise infrastructure built for AI workloads

Python & FastAPI
Async APIs with Pydantic v2, RBAC middleware, and model serving
Azure AI / AWS Bedrock
Azure OpenAI, AI Search, SageMaker, Bedrock for multi-cloud AI
Docker & Kubernetes
Containerized inference services with auto-scaling orchestration
CI/CD & MLOps
GitHub Actions, MLflow, model registry, and automated deployment pipelines

Data Engineering

Scalable pipelines, warehousing & real-time processing

PySpark / Databricks
Distributed ETL pipelines and unified analytics at petabyte scale
SQL & dbt
Data modeling, transformations, and warehouse-native analytics
Airflow / Prefect
Workflow orchestration for batch and streaming data pipelines
Kafka & Streaming
Event-driven architectures and real-time data ingestion at scale
05

Teaching & Global Impact

Advancing practical AI education and applied innovation across global platforms.

Universities

Invited to deliver lectures and workshops on AI, ML, and data-driven innovation.

UMass DartmouthNorthern Kentucky UniversityVIT UniversityPVP SiddharthaJECRC University

Global Platforms

Featured speaker at international AI conferences and educational platforms.

DeepLearning.AI (Pie & AI)Berlin School of Business & InnovationCloud Computing Conference (Boussias)

Training Partners

Collaborated with leading EdTech platforms to deliver industry-ready AI curriculum.

Great LearningWileyVerzeoAnalytics VidhyaKaggle
11+
Years AI/ML Experience
2
Publications
500+
Teaching Hours
18+
Guest Lectures
10+
Partners
1000+
Learners
200+
Mentoring Sessions
20+
Countries

What Mentees Say

"Anudeep is incredibly insightful, listening carefully and offering technical yet straightforward comments that are truly beneficial. His ability to break down complex concepts into understandable terms is admirable."

Michael
Freelance Developer, Self-taught
via ADPList

"Extremely insightful and valuable discussion. Anudeep's depth of knowledge in Data and AI is evident, and his willingness to openly share his expertise is commendable."

Shashank H.V.
Student, UMass Dartmouth
via Topmate

"His tailored advice on skills, job applications, and interviews was practical and insightful, leaving me confident and motivated. Highly recommended!"

Baran Khazaee
MSc Computer Science, UC Davis
via ADPList

"His strategic guidance and ability to simplify complex AI and career paths into clear, actionable steps were incredibly helpful. I left with much more clarity, confidence, and direction."

Nelisa Sebastian
Data Analyst, Northeastern University
via ADPList

"An exceptional session, making complex Agentic AI concepts easy to understand. His motivating approach inspired me to take bold steps in my learning journey."

Mide Sowunmi
UX/UI Designer, Comcast
via ADPList

"Direct and strategic feedback on turning my project into a portfolio asset and pursuing AI roles through freelance work. Honest advice that helped clarify my long-term direction."

Natalia Kent
AI Enthusiast, Freelance
via ADPList
Let's Connect

Ready to Build Something Impactful?

Whether you're looking for AI consulting, speaking opportunities, mentorship, or collaboration on research projects, I'd love to hear from you.