AI integration + backend
AI Sales CRM Assistant
Structured lead analysis, deterministic urgency normalization and duplicate-safe HubSpot / Google Sheets synchronization.
Open case studyNEEHANTH REDDY / AI·ML ENGINEER
I turn complex model development and AI system engineering into evaluated, inspectable systems with clear links from implementation to evidence.
View ResumePROOFGRAPH / ASK FOR THE EVIDENCE
Inspect the projects, engineering decisions, evaluations and artifacts behind technical claims.
01 / SELECTED ENGINEERING WORK
Six projects across agent workflows, retrieval, applied research and model deployment.
AI integration + backend
Structured lead analysis, deterministic urgency normalization and duplicate-safe HubSpot / Google Sheets synchronization.
Open case studyHybrid ML + RAG
Deterministic ESI/MEWS scoring and ML risk prediction, separated from retrieval-grounded explanations.
Open case studyAgentic AI + retrieval
A six-node LangGraph diagnostic workflow connecting hybrid retrieval, four tools and grounded decision support.
Open case studyBiomedical AI research
Validated 19-channel EEG → FRP preprocessing, completed four-class Swin segment experiments and a separate three-class patient pilot; CNN-vs-Swin comparison remains ongoing.
Open case studyRetrieval engineering
A local research Q&A application with reproducible FAISS Flat, HNSW and Annoy retrieval benchmarks.
Open case studyComputer vision + MLOps
Four-class VGG16 transfer learning with DVC, FastAPI inference and Docker / GitHub Actions / AWS ECR + EC2 deployment.
Open case study02 / CAPABILITIES
Follow a capability to the implementation behind it.
Apache Spark and PySpark distributed ETL and scalability benchmarking in local Docker environments.
1 projects · 1 evidence itemsAgent orchestration in documented workflows.
4 projects · 4 evidence itemsRetrieval and grounded explanation workflows.
3 projects · 4 evidence itemsDocumented backend and model-serving interfaces.
4 projects · 7 evidence itemsEvaluation methods with explicit scope and limitations.
6 projects · 10 evidence itemsClassical LDA and linear SVM workflows with session-separated EEG evaluation.
1 projects · 2 evidence items03 / APPLIED RESEARCH
Validated 19-channel EEG → FRP preprocessing, completed four-class Swin segment experiments and a separate three-class patient pilot; CNN-vs-Swin comparison remains ongoing.
Inspect the researchSCHEMATIC / RESEARCH, NOT CLINICAL VALIDATION
04 / EXPERIENCE