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ID: DATA_SCIENTIST_L4

Experience4+ Years
ArchitecturesRAG & Agents
ClearanceTop Secret
ACCESS GRANTED // DECRYPTING BIO...

Building the Systems of Tomorrow.

I don't just train models; I engineer the intelligence infrastructure that powers them. Currently at Deloitte USI, I'm deploying autonomous SQL Agents and RAG pipelines that outperform standard benchmarks by 18-31%.

LLM Architectures

Specializing in Agentic workflows, CoT prompting, and FastMCP protocols.

Research Translation

Turning arXiv papers into production-grade code (e.g., Self-Correction mechanisms).

Distributed Systems

Building multi-tenant platforms (OmniScout) that scale to enterprise needs.

Deep Learning

Custom CNNs for Audio/Vision and fine-tuning Transformer models.

SYSTEM_HARDWARE_V4.0

The Sentient Circuit

COMPUTE_UNIT

Core Logic & Algorithms

Python
Go
NumPy
Pandas
Scikit-Learn

NEURAL_ENGINE

LLM & Agentic Workflows

LangChain
CrewAI
Claude
OpenAI
Gemini
HuggingFace
PyTorch
TensorFlow

INFRA_BUS

Scalable Architecture

FastAPI
Django
AWS
Docker
Redis
Flask

MEMORY_BANK

Vector & Relational Storage

OpenSearch
ChromaDB
PostgreSQL
FAISS
Knowledge Graph
Neo4j
KERNEL EXECUTION TRACE

System Runtime

RUNNING01/2025 - Present

Data Scientist (Consultant)

Deloitte USI // Eli Lilly & Pfizer
COMPILED MODULES
OmniScout Platform
Multi-tenant AI consolidating OncoScout & VRDScout.
SQL Agent Core
Autonomous query engine with 95% accuracy.
RAG Pipeline
4-Agent system with Hybrid Search (FAISS+BM25).
LangChainCrewAIAWS BedrockFastMCPOpenSearch
>Architected autonomous SQL agents using Claude & LangChain on AWS RDS.
>Engineered dynamic few-shot learning (OpenSearch) boosting accuracy by 18%.
>Deployed FastMCP servers for self-correcting validation agents.
>Optimized retrieval with Hybrid Search strategies for Pharma compliance.
COMPLETED01/2021 - 12/2024

Software Engineer

Cisco Systems
COMPILED MODULES
Testbed Reservation
High-availability system for 300+ engineers.
ML Predictor
XGBoost pipeline for resource suitability.
Hardware Chatbot
RAG-based specs lookup tool.
Cisco Wiki Analytics Dashboard
Dashboard for analyzing Cisco wiki data.
DjangoCeleryRedisXGBoostPostgreSQL
>Eliminated 100% of race conditions using PostgreSQL row-level locking.
>Reduced idle time by 45% ($150K saved) via Celery-Redis notifications.
>Built automated Executive Dashboards using Flask & Pandas.
>Deployed scalable ML inference endpoints for real-time resource allocation.
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Project Schematics

PROJ_01

OmniScout Platform

LIVE_OV
Lv. 4
FastMCPLangGraphFastAPIDocker

Multi-tenant GenAI platform consolidating OncoScout & VRDScout. Utilizes FastMCP with self-correcting agents achieving 99% SQL generation accuracy.

128
34
PROJ_02

Neural SQL Agent

DEPLOYED
Lv. 5
LangChainAWS BedrockOpenSearchCoT

Advanced SQL agent utilizing AWS Bedrock & Anthropic Claude. Engineered dynamic few-shot learning (OpenSearch) to boost query accuracy by 18%.

89
12
PROJ_03

Deep Vision/Audio Suite

PROTOTYPE
Lv. 3
PyTorchAudioLibCNNsMatplotlib

Custom 2D-CNN architectures for audio classification (Mel Spectrograms) and multi-layer CNNs for image processing with stratified validation.

45
8
PROJ_04

Sentiment Decoder

ARCHIVED
Lv. 2
BERTHuggingFacePythonPandas

Sarcasm detection engine using custom classification heads on frozen BERT [CLS] embeddings. Implemented batch tokenization via collate_fn.

67
15
LIVE_FEED // UPLINK_ESTABLISHED

Neural Transmission

Decoded thoughts on Agentic AI, Scalable Systems, and Research from the medium.com archives.

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