LLM Engineer & AI Researcher

Anirudhi
Thanvi

I'm a |
Scroll
00 — Profile

Experience & Skills

LLM Engineer with 3+ years designing and deploying production-grade Generative AI, conversational AI, and machine learning systems for large enterprises. Proven track record delivering scalable AI platforms for Fortune 500 clients including Apple and GE Vernova. Deep expertise in LLMs, RAG, agentic workflows, conversational memory, and backend AI infrastructure.

3+ Years Experience Fortune 500 Clients Apple GE Vernova Production GenAI Infosys Ltd.
Core Skills Matrix
Generative AI & LLMs
LLMsPrompt EngineeringRAGTool CallingAgentic AIMemory MgmtSemantic SearchConversational AIText Summarization
ML & Data Science
Time SeriesARIMAProphetAnomaly DetectionFeature EngineeringStatistical ModelingScikit-learn
Backend & Systems
PythonFastAPIREST APIsLangChainOllamaPandasNumPyInference Pipelines
Frontend & Cloud
AngularMEAN StackAWS TrainiumDockerGit
Professional Experience
Infosys Ltd.
AI Engineer — Specialist Programmer
Bengaluru, India Oct 2022 — Present
LLM Engineer — Enterprise GenAI Platform
GE Vernova
  • Designed and deployed an enterprise-grade LLM-powered chatbot integrated into a production internal platform.
  • Implemented multi-turn conversational workflows with contextual memory, improving answer relevance and reducing repeated queries.
  • Built scalable FastAPI services for LLM orchestration, prompt routing, and secure API integrations.
  • Delivered GenAI PoCs involving structured/unstructured data retrieval and LLM-based summarization.
ML Engineer — Real-Time Demand Forecasting
Apple
  • Architected real-time forecasting pipelines processing continuously updating enterprise datasets.
  • Implemented ARIMA and Prophet models for weekly, monthly, and yearly forecasting horizons.
  • Enabled data-driven operational planning by significantly reducing manual forecasting effort.
GenAI Engineer — Conversational Analytics Platform
Apple
  • Built an LLM-powered analytics system enabling natural language querying over Excel and CSV data.
  • Implemented ChatGPT-style multi-turn conversations with contextual memory and feedback loops.
  • Designed enterprise-grade authorization, ambiguity detection, and clarification workflows.
GenAI Engineer — Automated Data Summarization
Apple
  • Developed LLM-driven summarization engines for infrastructure and approval datasets.
  • Generated structured, factual, timeline-aware summaries using prompt-engineered workflows.
GenAI & ML Proof-of-Concepts
R&D
  • Built end-to-end GenAI prototypes using LangChain and modern LLMs.
  • Trained and deployed LLMs using AWS Trainium and managed inference services.
  • Implemented RAG pipelines to improve factual accuracy and reduce hallucinations.
Early Experience
Rajasthan Police HQ
Software Developer Intern

Developed a web application supporting CID operational workflows and internal tooling for law enforcement operations.

Capgemini
Analyst Intern — Python Developer

Built Python-based analytics pipelines and Django applications. Recognized for strong ownership and delivery quality.

01 — About

Who I Am

I'm Anirudhi Thanvi — an LLM Engineer and AI researcher based in Bengaluru, currently at Infosys Ltd. building production AI systems for Fortune 500 enterprises. My work spans conversational AI, RAG pipelines, forecasting, and agentic workflows deployed at scale.

"Be Somebody Nobody Thought You Could Be." The 4 constants of my life: Coding, Laptop, Research, Caffeine.

Beyond engineering, I write about AI and open-source technology on Medium, breaking down frontier research and real-world deployments for the broader tech community.

I'm actively pursuing research collaborations — particularly in LLMs, computer vision, and robotics — including remote academic partnerships and open-source communities like EleutherAI and Hugging Face.

Large Language Models
Computer Vision
LangChain / LCEL
FastAPI / Python
RAG Pipelines
Open-Source AI
AI/ML
02 — Services

What I Do

⚙️

LLM Engineering

RAG pipelines, agentic workflows, prompt engineering, memory systems, LangChain, FastAPI — production-grade AI at enterprise scale.

📊

Data Science & ML

Python, Machine Learning, Time Series Forecasting (ARIMA, Prophet), Anomaly Detection, Data Visualization.

🌐

Web Development

HTML, CSS, JavaScript, Angular, MEAN Stack, REST APIs, full-stack single-page applications.

🎓

Research & Writing

Technical writing, domain research, published papers in ML, CV, blockchain, and IoT. Active Medium contributor.

🤖

MLOps

Deep Learning, Docker, Git, GitHub, AWS Trainium, CI/CD pipelines, model deployment and inference services.

💻

Programming

Python, C, C++. Tools: Anaconda, VSCode, Docker, GitHub, Ollama, Jupyter.

02 — Projects

What I've Built

PROJECT_001

Plant Disease Detection

ML-powered system to detect plant diseases from leaf images using deep learning for agricultural intelligence and early-stage diagnosis.

Computer VisionDeep LearningPython
View Project ↗
PROJECT_002

Facebook EDA

Exploratory data analysis on Facebook user data — uncovering behavioral patterns, engagement trends, and social graph insights.

EDAPandasData Viz
View on Jovian ↗
PROJECT_003

Artistry — Ecommerce Platform

Full-stack ecommerce web application for art and creative goods with product listings, cart, and checkout flow.

Full StackEcommerceWeb Dev
View on GitHub ↗
PROJECT_004

Docker Project

Containerized application deployment using Docker — demonstrating DevOps workflows, multi-service orchestration, and reproducible environments.

DockerDevOpsContainers
View on GitHub ↗
PROJECT_005

Annapurna — Food Delivery App

End-to-end food delivery application with restaurant listings, real-time order tracking, and user authentication.

Web DevReactBackend
View on GitHub ↗
PROJECT_006

Farmistry — AgriTech Web App

Web platform connecting farmers and consumers with crop listings, market price tracking, and farmer-to-buyer communication tools.

AgriTechFull StackWeb Dev
View on GitHub ↗
04 — Awards

Awards & Achievements

01

International Conference

Poornima Group of Colleges

Presented paper titled "Bitcoin Price Prediction" at an international academic conference.

02

IT Hackathon 2.0 — 5th Place

JECRC Foundation

Secured 5th position. Developed a smart cafeteria system under hackathon conditions.

03

Startup Oasis Innocity — 1st Runner-Up

JECRC Foundation

Stood 1st runner-up at the Startup Oasis Innocity Bootcamp entrepreneurship competition.

04

Techno-Ads Ren'19 — 3rd Place

JECRC Foundation

Secured 3rd position at the college annual fest in logo designing competition.

05 — Articles

What I Write

001

Moltbot, Clawdbot & the Crypto Scam Nobody Talked About

The full story — viral open-source AI agent, forced rebrand, security vulnerabilities, and an entangled cryptocurrency scheme.

AI Agents
2024
002

LCEL and the New LangChain: What Actually Changed

A deep-dive into the LangChain Expression Language restructuring — what broke, what got better, and how to migrate your pipelines.

LLM Tooling
2024
003

Coca-Cola (Serverless Computing): A Case Study

On May 8, 1886, the world changed. A study in serverless architecture through the lens of the world's most iconic brand — and why you should never give up.

Read on Medium ↗
2021
004

Cognitive Intelligence: The Next Revolution

New era of theories of intelligence changing AI. When human cognitive functions are augmented by programmed software — the next frontier.

Read on Medium ↗
2021
→

Full Archive on Medium

All AI, open-source, and emerging technology articles available at ani12thanvi.medium.com

Visit Medium ↗
2025
06 — Research

Publications & Papers

[1]
Adv. Intell. Syst. Comput. · 2021

An Approach Toward Information Retrieval Through Machine Learning and Its Algorithms: A Review

Raghav Sharma, Bhanvi Menghani, Anirudhi Thanvi, Manish Kumar, Sunil Kumar Jangir

DOI: 10.1007/978-981-15-6014-9_77 ↗
2021ML / Review
[2]
Lect. Notes Networks Syst. · 2021

Malarial Parasite Detection by Leveraging Cognitive Algorithms: A Comparative Study

Raghav Sharma, Anirudhi Thanvi, Dinesh Goyal, Manish Kumar, Shatakshi Singh, Sunil Kumar Jangir

DOI: 10.1007/978-981-15-9689-6_78 ↗
2021Computer Vision
[3]
ML Approaches · IoT & Blockchain · 2021

Blockchain for Vehicular Ad Hoc Network and Intelligent Transportation System: A Comprehensive Study

Raghav Sharma, Anirudhi Thanvi, Shatakshi Singh, Manish Kumar, Sunil Kumar Jangir

DOI: 10.1002/9781119761884.CH7 ↗
2021Blockchain
[4]
ACM ICIMMI · 2022

Deep Convolution Neural Network-Based Analysis of Tomato Plant Leaves

Kabir Swami, Anirudhi Thanvi, Nakul Joshi, Sunil Kumar Jangir, Dinesh Goyal

DOI: 10.1145/3590837.3590952 ↗
2022Deep Learning
[5]
ECS Transactions · April 2022

Tomato Plant Leaf Malady Detection Using Machine Intelligence

Anirudhi Thanvi, Sunil Kumar Jangir, Raghav Sharma, Manish Kumar, Dinesh Goyal, Monika

DOI: 10.1149/10701.8301ECST ↗
2022Computer Vision
[6]
Intl. Conf. on Information Management · 2019

Bitcoin Exchange Rate Price Prediction Using Machine Learning Techniques: A Review

Anirudhi Thanvi, Raghav Sharma, Bhanvi Menghani, Manish Kumar, Sunil Kumar Jangir

2019ML / Finance
[7]
IoT & Cloud Computing · Healthcare · 2020

A Study on Uninterrupted Security in IoT Based Healthcare System

Anirudhi Thanvi, Raghav Sharma, Bhanvi Menghani, Manish Kumar, Sunil Kumar Jangir

2020IoT / Security
07 — Contact

Let's Connect

Open to research collaborations, AI/ML engineering roles, and conversations about the future of intelligent systems. I respond to everything.

Message sent! I'll get back to you soon.