Portfolio 2026

Theja Sai Reddy KunuthuruAI/ML Engineer · GenAI & Agentic AI Specialist · MLOps

Results-driven AI/ML Engineer and GenAI Specialist with 5+ years of hands-on experience designing and delivering intelligent systems across RAG pipelines, Agentic AI frameworks, LLM Fine-Tuning, and MLOps infrastructure. Proven AI Architect of enterprise-scale implementations — ITSM Ticket Solver, NLP-powered LLM Chatbots, HR Agentic Tools, and document intelligence platforms — using Python, TensorFlow, LangChain, LangGraph, OpenAI, and Hugging Face. Certified in Oracle OCI Generative AI and Azure Fundamentals.

Available for senior AI engagements
Based in India • Open to remote-hybrid
Call +91 6300645486Write to meView credentials ↗

Quick stats

Work Experience in IT7.5+ yrs
Projects delivered15+
Primary baseBengaluru, IN

Engineering spotlight

AI/ML & GenAI Engineering

Building production AI systems — RAG pipelines, agentic workflows, LLM fine-tuning, and responsible AI guardrails for enterprise-scale deployments.

Focus

Skills & Tools

AI/ML Engineering

Core

Building production AI/ML systems with Python, TensorFlow, PyTorch, scikit-learn, and Hugging Face across enterprise domains.

  • Model training & fine-tuning (PEFT/LoRA)
  • ML lifecycle management & MLOps
  • Data pipelines & predictive analytics

GenAI & Agentic AI

Active

Architecting GenAI solutions with RAG pipelines, LangChain/LangGraph orchestration, MCP integration, and multi-agent systems.

  • RAG & vector retrieval systems
  • LangChain/LangGraph & MCP
  • Responsible AI & prompt engineering
AI/ML Engineering:

Python, LangChain, LangGraph, Hugging Face (PEFT/LoRA), scikit-learn, TensorFlow, PyTorch, Prompt Engineering, Fine-Tuning, RAG, MCP, Agentic AI, Vector Embedding

AI Models:

OpenAI GPT-4/3.5, Claude, Mistral, LLaMA, ChromaDB, FAISS, Pinecone, Retrieval Pipeline, Responsible AI, AI Security

Cloud & MLOps:

Azure Machine Learning, OCI, AWS, GCP, Docker, Azure DevOps, CI/CD, ML Lifecycle Management

Data & Analytics:

SQL, Power BI, Excel (Advanced), Data Pipelines, Time-Series Forecasting, Regression Modeling, Predictive Analytics

Tools & Platforms:

JIRA, Confluence, Microsoft 365, Power Platform, SharePoint, Teams, ServiceNow (Covent)

Domains & Industries:

Manufacturing, Banking, EdTech, Telecom, HR, IT Service Management, FinTech

Journey

Experience

2019 — Present

Apr 2024 — Dec 2025

Netscribes Analytics Pvt Ltd · Bengaluru

Senior Consultant

Revolutionized enterprise AI engineering and OpenAI ecosystems for enterprise RFPs in Manufacturing, IT and HR domains — delivering RAG, MCP-based LLM integration, and fine-tuned models.

  • Architected an ITSM Ticket Solver for a Manufacturing client using LangGraph-based Agentic AI and RAG over vectorized ticket data, reducing MTTR by 38% and automating 60%+ of L1 ticket triaging via multi-tool agent orchestration.
  • Built an LLM Chatbot integrated with Jira via MCP, enabling real-time natural-language querying of project boards using LangChain and OpenAI GPT-4, cutting manual status-reporting effort by ~50%.
  • Designed an Agentic HR tool for Leave Management using LangGraph multi-agent workflows with ChromaDB vector retrieval over HRMS APIs and policy knowledge bases; achieved 92%+ intent resolution accuracy.
  • Led fine-tuning workstreams using Hugging Face PEFT/LoRA on Mistral and LLaMA, improving task-specific accuracy by ~22% over baseline models; managed classification and extraction benchmarking.
  • Implemented Responsible AI guardrails (prompt injection defense, PII redaction, hallucination scoring) and engineered prompt frameworks (COT, tree-of-thought, structured output) improving output reliability by 89%.
LangGraphRAGAgentic AIFine-TuningResponsible AI

Sep 2021 — Feb 2024

CRSS Worldwide · New Delhi

Project Manager

Led architecture and delivery of an enterprise document intelligence platform integrating RAG pipelines, vector databases, and LLM inference.

  • Directed end-to-end delivery of AI Assistant for document analysis, integrating RAG and ML inference pipelines to enable semantic search, summarization, and Q&A across a large document repositories.
  • Managed vector database architecture with FAISS / ChromaDB / Pinecone and orchestrated embedding generation using OpenAI, Hugging Face Transformers, and LangChain, tracking document retrieval accuracy by 91%.
  • Designed end-to-end AI architecture covering data ingestion, chunking, embedding pipelines, vector indexing, and retrieval-ranked processing, achieving 93%+ precision.
RAGVector DBFAISSChromaDBLangChain

Jul 2021 — Aug 2022

Tatras Data Pvt Ltd · New Delhi

Project Manager

Led AI/ML PODing for Intelligent Document Processing and Fintech platforms, managing the full ML lifecycle from data preparation through model deployment.

  • Directed end-to-end AI/ML POCs using Python, scikit-learn, and TensorFlow for Intelligent Document Processing (IDP), enabling automated extraction and classification of unstructured text with 55%+ model accuracy.
  • Oversaw ML lifecycle management — data preparation, feature engineering, model training, testing, and deployment on Azure Machine Learning and Docker — accelerating POC delivery by 35%.
  • Managed the Xerox CIP initiative within a 10-member team, integrating ML-driven classification models into digital printing workflows and delivering from initiation to closure in a 3-month timeline.
AI/ML POCIDPTensorFlowAzure MLDocker

Aug 2021 — Jul 2022

IBM India Pvt Ltd (Experis IT Pvt Ltd) · Bengaluru

PMO Analyst

Delivered AI/ML-integrated Azure cloud migrations for 60+ production data centers, managing 2 concurrent projects across 30+ stakeholders with sprint timelines and budgets.

  • Managed end-to-end Azure cloud migration for AT&T's Center Wholesale and Mobility applications engaging 30+ stakeholders, handled cost analysis of planned vs. actual billing and corrective action planning.
  • Served as ScrumMaster on Azure DevOps boards facilitating stand-ups, sprint planning, and retrospectives; coordinated kick-off meetings with AT&T, Microsoft, and third-party transition planning and hosting agreements.
Azure Cloud MigrationScrum MasterDevOpsStakeholder Mgmt

Jul 2021 — Aug 2023

TTi Financial Services (Spectrum Talent Mgmt Pvt Ltd) · Bengaluru

Performance Analyst

Supported senior management and financial analytics for McDonald's across 28 contracts using Python and Excel modelling to drive audit accuracy and cost efficiency.

  • Validated and analyzed $750M in vendor invoices using Python, Excel, and data validation scripts to detect 100+ financial discrepancies, improving audit accuracy by 92%.
  • Built 4-year predictive budgeting models and contract-level analysis using time-series forecasting, regression modelling, and scenario analysis, driving cost optimization and revenue allocation for key trading lines.
  • Led FMO activities for tracking RACIs and onboarding new McDonald's suppliers to the Covent (ServiceNow) platform; recognized as Star Performer of the Month for processing $30M in fixed and variable invoices while managing concurrent audit streams.
PythonFinancial AnalyticsPredictive ModelingServiceNow

Oct 2019 — Feb 2023

Capgemini India Pvt Ltd · Bengaluru

Associate Consultant

Engineered data pipelines and automated reporting infrastructure for ANZ Bank's 130+-team Offshore Delivery Centre, delivering dashboards, cost models, and real-time financial visibility.

  • Implemented and automated a Global Operations Dashboard for a $10M+/month ODC integrating data pipelines across Jira, Confluence and BIA Software using Python, advanced Excel, and SQL, achieving 85% reduction in manual reporting effort and real-time visibility into $6+ million in FTM revenue.
  • Delivered $1M+ annual cost savings by generating predictive insights on employee attrition, project performance, and budgeting via logistic regression and scenario modelling, handling end-to-end billing for 100 resources across 6 Lines of Business under ANZ's Agile Delivery Framework.
  • Brought cross-browser parity to ANZ's iOS (Chrome, Edge, Firefox) using cloud device farm; caught 14 production-escaping CSS/Javascript issues in 5-day QA acceleration cycle.
  • Proposed and delivered a JIRA Core proof of concept to road-test ODC operations, improving workflow efficiency and traceability across vendor management processes; managed customer change requests through disciplined change management with cross-team coordination.
Data PipelinesPythonSQLJIRAQA Automation

Academics

Education

Formal education

Jul 2014 — May 2019

Indian Institute of Technology (ISM), Dhanbad

B.Tech in Environmental Engineering | GPA: 6.23 (62.3%) (Absolute Grading)

Pursued additional training in computer science and programming; designed a web application for water resources management.

2012 — 2014

Sri Chaitanya Junior College (Board of Intermediate Education), Hyderabad

Intermediate (XI - XII)

Scored All India Rank 7075 in IIT JEE 2013 among 4,68,840 students appeared for the exam.

2008

Keshava Reddy EM High School (Board of Secondary Education), Kurnool, AP

SSC (X) — 544/600 (90.67%)

Completed secondary education.

Selected

Projects

Request a walkthrough ↗
2025Live

GitaGuru AI

Python, LangChain, LangGraph, CrewAI, Llama 3.1, Claude API, Qdrant, Docker

Personalized Spiritual Learning Platform with production RAG, 6-agent system (CrewAI), and adaptive learning algorithm.

  • Built production RAG system with fine-tuned Llama 3.1 8B (QLoRA), hybrid retrieval (BM25 + vector), and cross-encoder reranking on 700+ Bhagavad Gita verses, achieving 92% answer relevance and <2s response latency using vLLM inference.
  • Designed 6-agent system (CrewAI) generating personalized spiritual learning curricula: assessment agent profiles users via conversational extraction (89% accuracy), verse selector leverages RAG with metadata filtering, modern application agent (Claude API) contextualizes ancient wisdom for contemporary scenarios.
  • Implemented adaptive learning algorithm analyzing user reflections through sentiment analysis (DistilBERT), automatically adjusting curriculum difficulty and verse sequencing, reducing dropout rate by 45% in beta testing.
  • Deployed scalable architecture with FastAPI, Gradio UI, SQLAlchemy ORM, Redis caching, and Docker containerization; integrated monitoring via Prometheus and LangSmith tracking 15+ quality/performance KPIs.
Open case study
2024Live

Hands-on Generative AI

A multi-week operating manual documenting applied learning across LLMs, RAG systems, LangGraph, MCP, and diffusion workflows.

Open case study

Credentials

Certifications & Recognition

Oct 2025Verified

OCI Certified Generative AI Professional — Oracle University

Credential for architecting and deploying GenAI workloads responsibly.

View credential
Oct 2025Verified

OCI 2025 Certified AI Foundations Associate — Oracle University

Foundational certification for Oracle Cloud Infrastructure AI services and concepts.

View credential
Apr 2023Verified

Microsoft Certified: Azure Fundamentals

Cloud foundations supporting migration, DevOps, and AI/ML delivery.

View credential
Feb 2022Verified

Certified ScrumMaster® (CSM®) — Scrum Alliance

Agile delivery, facilitation, and stakeholder alignment for cross-functional teams.

View credential
Oct 2014Verified

Intro to Computer Science and Programming with Python — MITx | edX

Foundational computer science and Python programming coursework.

View credential

Contact

Let's shape something ambitious

Open to full-time roles and selective freelance projects in AI/ML, data, and software delivery. If my profile aligns with what you need, let's connect and explore fit.

+91 6300645486
theja.kunuthuru@gmail.com

LinkedIn

linkedin.com/in/thejakunuthuru

GitHub

github.com/thejakunuthuru