Open to Generative AI opportunities

Gopalakrishna Maddipalli · Generative AI Engineer

Building the Future of Autonomous Systems & Intelligent Agents

RAG ACCURACY

AGENT STATUS

LLM PIPELINE

View My Work ↘Download CV ↓

gopal@genai:~ $ initialize --profile

✓ production systems
✓ domain-aware intelligence
✓ human-centered automation

Building with Python

SYSTEM STATUS: LEARNING · BUILDING · SHIPPING

7+ yearsDOMAIN EXPERIENCE

9 projectsPRODUCTION-FOCUSED AI SYSTEMS

22+ verifiedCREDENTIALS & CERTIFICATIONS

01 / About Me

Domain depth meets agentic engineering.

Seven years in construction operations and data science shape how I build: start with the workflow, ground the intelligence, and measure the outcome.

Professional portrait of Gopalakrishna Maddipalli

Gopalakrishna MaddipalliGENERATIVE AI ENGINEER · DATA SCIENTIST

I specialize in prompt engineering, advanced RAG topologies, and autonomous multi-agent workflows—designing systems where retrieval quality, orchestration, evaluation, and observability are first-class engineering concerns.

My foundation spans research analysis, machine learning, OCR automation, and BI. That experience helps me translate messy documents, fragmented data, and compliance-heavy processes into dependable AI products that people can actually use.

CuriosityClarityReliabilityHuman impact

Top skills

Advanced RAGRetrieval · reranking

AI AgentsTools · orchestration

Prompt EngineeringDesign · evaluation

PythonAPIs · automation

LLMOpsDeploy · observe

Data ScienceML · explainability

7+ years at Sunray Construction SolutionsResearch Analyst → Data Scientist · Turning legal and operational workflows into data products.

Career trajectory

OperationsConstruction research and workflow expertise

Data SciencePredictive ML, OCR, analytics, and explainability

Generative AIRAG, agent orchestration, evaluation, and LLMOps

02 / Featured case studies

AI systems designed around business outcomes.

Three flagship GenAI patterns, applied to construction and legal operations.

RUN-ID: #A79X-2026 ● STABLE

Latent-Search v2

LLM VECTOR RAG PIPELINE

Enterprise retrieval pipeline that grounds construction and legal answers in source-aware vector context, with evaluation-led reranking and traceable responses.

LATENCY42msACCURACY / MMLU84.3%

QUERY→RETRIEVE→RERANK→ANSWER

LangChainPyTorchFAISSFastAPI

Business impact95% retrieval accuracy

RUN-ID: #V31N-7B ● ONLINE

Cognitive Diffusion

MULTI-MODAL LATENT MODEL

Multi-modal inference architecture that aligns text and visual representations in a shared latent space for domain-aware generation and analysis.

INFERENCE SPEED12 t/sPARAMETERS7B

TEXT+VISION→LATENT→OUTPUT

PyTorchCUDATransformersNext.js

Business impact3× lower latency

RUN-ID: #AG12-MESH ● ACTIVE

Agentic Mesh

AUTONOMOUS MULTI-AGENT FRAMEWORK

Stateful orchestration mesh coordinating compliance, risk, notice, and communication agents with shared context and human checkpoints.

ACTIVE AGENTS12TOKEN COST REDUCTION40%

PLAN→AGENTS→TOOLS→REVIEW

LangGraphCrewAILangChainRedis

Business impact40% task automation

Blueprint portfolio

Nine production-focused projects.

The complete 90-day blueprint, with each project’s actual business goal and stack.

Predict delayed payments & lien probability

01 · Construction Payment Risk Prediction

Prioritize collections and enable proactive customer engagement with explainable risk scoring.

PythonSQLXGBoostFastAPIAWSPower BI

Data → Features → Training → SHAP → API → Dashboard

Extract structured data from legal PDFs

02 · Document AI

Reduce manual document processing while improving the accuracy of legal-data capture.

Textract / PaddleOCRspaCyPostgreSQLFastAPI

PDF → OCR → NER → JSON → DB

Recommend notices & deadlines

03 · Lien Recommendation Engine

Guide customers toward the right next legal action using ML and deterministic rules.

PythonMachine LearningFastAPIRules Engine

Project Data → ML → Recommendation API

Create a central analytics platform

04 · Construction Data Lakehouse

Establish a single source of truth for operational analytics and executive reporting.

PySparkAWS GlueAthenaRedshiftPower BI

CRM → S3 → Glue → Athena → Dashboards

Chat with construction documents

05 · AI Legal Assistant (RAG)

Accelerate legal research and customer self-service with grounded document intelligence.

LangChainAWS BedrockFAISSFastAPI

Docs → Embeddings → Vector DB → LLM

Automate compliance workflows

06 · Multi-Agent Construction AI

Coordinate specialist agents to automate repetitive legal and compliance operations.

LangGraphCrewAIAWS BedrockRedis

Contract → Compliance → Risk → Notice → Email

Analyze claims & contracts

07 · AI Claims Intelligence

Reduce review effort while surfacing hidden risks across uploaded legal documents.

OCRTransformersRAGAWS

Upload → OCR → Risk → Summary → Chat

Explain payment predictions

08 · Payment Risk Copilot

Turn risk scores into actionable, human-readable insights for collections teams.

XGBoostSHAPLLMs

ERP → ML → Explanation → Dashboard

Deliver end-to-end compliance assistance

09 · Autonomous Compliance AI

Improve compliance speed and consistency through coordinated agent-driven reporting.

LangGraphMCP ConceptsCrewAI

Project → Agents → Compliance Report

03 / Skills matrix

A practical stack for intelligent systems.

AI Frameworks

LangChainLlamaIndexCrewAIAutogen

Vector Databases

PineconeMilvusQdrantChroma

Models & Infrastructure

GPT-4Claude 3Llama 3DockerFastAPI

Experience

Data Scientist

ML, OCR-driven automation, dashboards, and product-facing analytics at Sunray Construction Solutions.

Education

PGP in AI & ML

McCombs School of Business, The University of Texas at Austin, via Great Learning.

Credentials

Production ML foundations

MLOps, practical data science, deep learning, advanced SQL, and business analytics.

04 / Certifications

Credentials that built the foundation.

Every certification and credential link from the previous portfolio, preserved in full.

AI & Machine Learning 9 credentials

Machine Learning Engineering for Production (MLOps) SpecializationCoursera · Nov 2021

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Practical Data Science SpecializationCoursera · Sep 2021

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Neural Networks and Deep LearningCoursera · Sep 2020

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Facial Expression Recognition with KerasCoursera · Sep 2020

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Introduction to Explainable AI (XAI) using LIMEAnalyttica Datalab · Jul 2020

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DAT257x: Reinforcement Learning ExplainedMicrosoft · Jun 2020

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Building Conversational Experiences with DialogflowCoursera · Jun 2020

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Machine Learning Pipelines with Azure ML StudioCoursera · Jun 2020

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Predictive Modelling with Azure Machine Learning StudioCoursera

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Data & SQL 5 credentials

SQL Tips, Tricks, & TechniquesLinkedIn Learning · Sep 2020

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Advanced SQL for Data ScientistsLinkedIn Learning · Sep 2020

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SQL: Data Reporting and AnalysisLinkedIn Learning · Sep 2020

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Learning SQL ProgrammingLinkedIn Learning · Aug 2020

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SQL Essential TrainingLinkedIn Learning · Aug 2020

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Business & Analytics 5 credentials

Statistical Methods for Decision MakingGreat Learning · May 2020

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Financial Risk AnalyticsGreat Learning · Apr 2020

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Introduction to RGreat Learning · Apr 2020

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Marketing and Retail AnalyticsGreat Learning · Apr 2020

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Data Visualization using TableauGreat Learning · Apr 2020

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Foundations 3 credentials

Statistics Foundations: 1LinkedIn Learning · Sep 2019

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Programming Foundations: FundamentalsLinkedIn Learning · Sep 2019

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Introduction to Geometric Dimensioning and TolerancingLinkedIn Learning · Aug 2019

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Education

Post Graduate Program in Artificial Intelligence and Machine Learning

McCombs School of Business, The University of Texas at Austin · via Great Learning · Jan 2021

View credential ↗View credential 2 ↗Great Learning ePortfolio ↗

05 / Contact

Let’s build useful intelligence.

Open to Generative AI, AI/ML engineering, and applied agentic-system opportunities.

GitHub ↗LinkedIn ↗Great Learning ePortfolio ↗Email · gopalgk53@yahoo.com Download CV ↓

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