---
title: "Surya D. - Software Engineer in Hyderabad | Tal"
description: "Meet Surya D., AI Engineer | ML, AI Agents, System Design, Generative AI, MLOps based in Hyderabad. AI stack includes antigravity, codex, and opencode."
image: "https://tal.club/meet/surya-d/share-image"
---

# Surya D\. on Tal

## Headline

AI Engineer \| ML, AI Agents, System Design, Generative AI, MLOps

## About

Passionate AI Engineer with experience in designing, developing, and deploying cutting\-edge AI/ML solutions\. My expertise lies in Generative AI, Large Language Models \(LLMs\), Natural Language Processing \(NLP\), and Computer Vision, with a strong focus on delivering scalable, efficient, and impactful AI systems\. What I Do: Generative AI: Build end\-to\-end Generative AI pipelines, including prompt engineering, LLM orchestration, and integration with vector databases \(Pinecone, Chroma, FAISS\)\. AI Agents: Develop autonomous agents and multi\-agent systems using frameworks like LangChain and AutoGPT for tasks such as workflow automation, decision\-making, and intelligent task delegation\. Cloud & MLOps: Deploy AI solutions on AWS, Azure, and GCP, and ensure seamless integration using Docker, Kubernetes, and MLOps practices for continuous monitoring and retraining\. Technical Skills: Programming: Python, PySpark, JavaScript\. AI/ML Frameworks: TensorFlow, PyTorch, Keras, Hugging Face Transformers\. Generative AI: GPT, LLaMA, Mistral, Prompt Engineering, Fine\-Tuning, Quantization\. AI Agents: LangChain, Langgraph, AutoGPT, CrewAI\. NLP: Tokenization, Text Classification, Named Entity Recognition \(NER\), Summarization\. Cloud Platforms: AWS \(SageMaker, Bedrock\), Azure\. DevOps & MLOps: Docker, Kubernetes, Git, CI/CD Pipelines\. Tools & Libraries: NumPy, Pandas, SciPy, FastAPI, Airflow, Databricks\.

## Location

Hyderabad

## AI stack

antigravity

codex

opencode

## Work experience

Software Engineer at MetLife, Jul 2025 \- Present · 1 yr 2 mos, Hyderabad, Telangana, India, Building production AI systems at MetLife focused on agentic AI, MLOps automation, and ML infrastructure for the digital insurance platform\. 1\. Lead Nurturing Multi\-Agent System Architected a 10\-agent orchestration system using LangGraph and GPT\-5 to automate lead qualification, scoring, and nurturing\. Designed two agentic flows — Lead Qualification \(Data Collector → Intent Analyzer → Qualification Scorer → Action Recommender\) and Lead Nurturing \(Behaviour Tracker → Engagement Strategist → Messaging Personalizer → Channel Scheduler → Propensity Scorer\) with a Dormant Revival sub\-flow\. Built on FastAPI and PostgreSQL with real\-time XGBoost propensity scoring, RAG\-powered multi\-channel outreach \(WhatsApp, Email, SMS, Push\), and human\-in\-the\-loop compliance gates\. Projected conversion uplift from 7\.1% to 12% \(traffic\-to\-lead\) and 13\.6% to 20% \(lead\-to\-sales\)\. 2\. Propensity\-to\-Pay Model — MLOps Pipeline Delivered a production MLOps suite spanning data ingestion to model inference, achieving 80% ROC\-AUC\. Built Azure DevOps CI/CD pipelines and Azure ML pipeline YAMLs with Optuna hyperparameter optimization, champion/challenger evaluation, and cross\-subscription Docker image promotion with approval gates\. Reduced deployment from days to a single pipeline run with MLflow tracking\. 3\. MLOps Automation Agent Built an MLOps agent using LangGraph with intent routing and MCP server integration — enabling ML teams to scan repos, generate CAF\-compliant artifacts, and trigger commits via natural language\. Delivered 100\+ ML pipeline templates with LLM\-powered validation and a React streaming chat UI\. Tech: LangGraph, GPT\-4o, FastAPI, Azure ML, Azure DevOps, Docker, XGBoost, MLflow, MCP, Optuna, React\.

Technical Engineer at Mercedes\-Benz Research and Development India, Sep 2020 \- Jun 2025 · 4 yrs 10 mos, Bengaluru, Karnataka, India, Built AI\-powered systems for the wiring diagram and service documentation teams at Mercedes\-Benz R&D India, focusing on RAG chatbots, computer vision, and ML classification\. 1\. Service Manual RAG Chatbot Built a production\-grade RAG chatbot over Mercedes\-Benz service manuals containing mixed content — procedures, tables, torque specs, and images\. Engineered a multi\-modal ingestion pipeline using PyMuPDF and pdfplumber, preserving the natural document hierarchy as retrieval units\. Implemented hybrid retrieval \(Qdrant \+ OpenAI text\-embedding\-3\-small \+ BM25\) fused via Reciprocal Rank Fusion, with MMR diversity reranking and Cross\-Encoder relevance scoring before GPT\-4o generation\. Evaluated using RAGAS \(faithfulness, answer relevancy, context precision\)\. 2\. RAG Visual Table Extraction Chatbot Built a RAG chatbot enabling the wiring diagram team to query and extract tabular data from 150\+ industrial SVG and TIFF documents via natural language\. Used ColPali to embed pages as visual vectors — capturing table structure, layout, and colour\-coded wiring that text parsers cannot extract from TIFF files\. GPT\-4o interprets visual context and generates structured CSV output\. Reduced manual data entry by 60% and improved accuracy by 90%\. 3\. Harness Detection Classification Model Trained an XGBoost binary classifier to detect whether a wire component is a harness, using features like voltage, colour, gauge, and insulation type\. Deployed as a FastAPI endpoint in the wiring design workflow for real\-time BOM validation\. 4\. Unified Data Integration Interface Built a Streamlit \+ MongoDB dashboard consolidating wiring data from multiple APIs, reducing data retrieval time by 50%\. Tech: ColPali, GPT\-4o, Qdrant, BM25, LlamaIndex, XGBoost, FastAPI, Streamlit, RAGAS, MLflow\.

Graduate Engineer Trainee at Mercedes\-Benz Research and Development India, Aug 2019 \- Sep 2020 · 1 yr 2 mos, Bengaluru, Karnataka, India

Assistant Manager at Volvo Trucks India, Jan 2019 \- Jul 2019 · 7 mos, Bengaluru, Karnataka, India, Development of Aftermarket Extended products\.

## Education

Master of Science \- MS, Artificial Intelligence and Machine Learning, Scaler

Bachelor's degree, Automobile/Automotive Mechanics Technology, Lovely Professional University

[View the original profile](https://tal.club/meet/surya-d)

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