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PRANAV MURALI

Building RAG systems, LLM pipelines & MLOps infrastructure at scale.
4.5+ years turning raw data into production-grade AI.
Currently @ Comcast · Chicago, IL

Pranav Murali
PRANAV MURALI
ML ENGINEER · CHICAGO, IL
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PIPELINE EFFICIENCY ↑
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MODEL STABILITY ↑
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PRODUCTION AI EXP
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SYSTEM PROFILE

About

pranav@ml-engineer ~ bash
MISSION LOG

Experience

4.5+ years building production AI systems across network intelligence, fintech, and e-commerce.

🧠
ML ENGINEER
Jun 2025 – Present
Comcast · Chicago, IL
35% pipeline efficiency25% model stability 30% faster decisions10M+ records/day
  • Architect predictive maintenance models in PyTorch forecasting broadband traffic — proactively eliminating outages before they happen.
  • Design high-throughput ETL pipelines with PySpark & Airflow processing 10M+ daily records, boosting pipeline efficiency by 35%.
  • Built and shipped a production RAG system (LangChain + Hugging Face + Pinecone) slashing support resolution time from a 50K-doc knowledge base.
  • Lead end-to-end MLOps — Docker → SageMaker deploy, MLflow experiment tracking, automated drift alerts.
  • Deliver real-time network intelligence dashboards (Power BI + Plotly) accelerating enterprise decisions by 30%.
📊
DATA SCIENTIST
Aug 2021 – Jul 2023
CloudSphere IT Labs · Bengaluru, India
20% classification accuracy30% lower latency40% faster deploy
  • Built churn prediction & transaction trend models (Scikit-learn) for FinTech and E-Commerce clients.
  • Designed BERT-powered NLP pipeline for support-ticket classification, lifting accuracy by 20% across 100K+ monthly tickets.
  • Engineered complex behavioral features and optimized SQL/PostgreSQL pipelines — cutting query latency by 30%.
  • Containerized models on AWS EC2 with Docker, shrinking deployment cycles by 40%.
⚙️
DATA ENGINEER
Jan 2020 – Aug 2021
CloudSphere IT Labs · Bengaluru, India
40% ingestion throughput30% fewer inconsistencies99.5% SLA
  • Built ETL pipelines (Python + SQL) extracting behavioral logs into AWS S3 — the backbone for all downstream ML.
  • Implemented Kafka streaming for real-time event processing, increasing ingestion throughput by 40%.
  • Orchestrated workflows with Apache Airflow ensuring 99.5% SLA on client-facing reporting systems.
  • Standardized environments with Docker, reducing deployment inconsistencies by 30%.
TECH ARSENAL

Skills

Full-stack ML — from raw data to deployed, monitored, production models.

🧠
ML & DEEP LEARNING
CORE EXPERTISE
PyTorchTensorFlowScikit-learnXGBoostLightGBMCNNLSTMSHAPLIME
🤖
GENERATIVE AI & LLMS
KEY DIFFERENTIATOR
LangChainLlamaIndexRAGLoRA/QLoRAHuggingFaceOpenAI APIsPineconeFAISSAutoGen
☁️
CLOUD & MLOPS
DEPLOYMENT STACK
AWS SageMakerAzure MLGCP Vertex AIMLflowDockerKubernetesCI/CD
🗄️
DATA ENGINEERING
PIPELINE & INFRA
PySparkKafkaAirflowPostgreSQLMongoDBAzure Data Factory
APIS & BACKEND
SERVING LAYER
FastAPIFlaskREST APIsPythonSQLR
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VISUALIZATION
INSIGHTS LAYER
Power BITableauPlotlyMatplotlib
ML & DEEP LEARNING
95%
GENERATIVE AI / LLMs
92%
CLOUD & MLOPS
87%
DATA ENGINEERING
89%
APIs & BACKEND
83%
VISUALIZATION
82%
DEEP SPACE MISSIONS

Projects

Selected work that ships to production and moves the needle.

TensorFlow/LSTMFB ProphetElasticsearchFlask/React

Predictive Git-Ops Analytics & Semantic Search Pipeline

Engineered distributed microservices comparing LSTM, Prophet, and StatsModel to forecast metrics. Integrated Elasticsearch vector index for dense semantic tracking.

3 ML Models EvaluatedVector Similarity
AutoGenLangChainCI/CDSAST/DASTIaC

GENAI DEVSECOPS MULTI-AGENT

End-to-end DevSecOps automation integrating CI/CD, SAST, DAST, and IaC. Multi-agent system using AutoGen to simulate Scrum roles and task execution tracks.

Multi-agent teamFully automated CI/CD
Computer VisionMorse CodeAccessibilityML

AI SECURE AUTH — ACCESSIBILITY

Contactless authentication via facial and eye-movement detection. Morse code input guards against shoulder-surfing, enabling secure access tracks.

Contactless authAnti-shoulder surfing
SOCIAL PROOF

Testimonials

Pranav's RAG pipeline cut our support resolution time by nearly half. He doesn't just build models — he engineers solutions that actually ship and scale in production.
SR
SARAH RODRIGUEZEngineering Manager · Comcast
One of the most technically rigorous data scientists I've worked with. His BERT classification system saved us thousands of hours of manual ticket routing every month.
AK
ARJUN KRISHNACTO · CloudSphere IT Labs
Pranav's MLOps infrastructure was rock-solid from day one. The automated drift alerting he built caught two model degradations before any customer felt them.
MP
MICHAEL PARKStaff ML Engineer · Comcast
His ETL pipelines handling 10M+ records daily run with zero babysitting. The Airflow DAGs he designed are some of the cleanest I've reviewed in my 12-year career.
LP
LISA PATELSenior Data Architect · CloudSphere
CREDENTIALS

Certifications

Validated expertise across cloud, ML, and AI platforms.

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Oracle Cloud Infrastructure 2025 Certified Developer Professional
Oracle Cloud
✓ VERIFIED
🔵
Oracle Cloud Infrastructure 2025 Certified AI Foundations Associate
Oracle Cloud
✓ VERIFIED
🟢
AWS Fundamentals: Going Cloud-Native
AWS
✓ VERIFIED
ACADEMIC TRAJECTORY

Education

🎓
MASTER'S IN COMPUTER SCIENCE
Illinois Institute of Technology
Aug 2023 – May 2025
Chicago, IL
🏛
BACHELOR'S IN INFORMATION SCIENCE
Jain University
Aug 2018 – Jul 2022
Bengaluru, India
OPEN CHANNEL

Contact

Let's build something great.

Open to ML Engineer, LLM Engineer, and AI Platform roles. Always happy to connect about interesting problems in AI/ML.