OPEN TO OPPORTUNITIES
3+ YEARS EXPERIENCE

SHUBHANG
DHAWAN

DATA · AI · MACHINE LEARNING

I work across data, artificial intelligence and machine learning, turning complex problems into practical, intelligent applications.

View My Projects→↓ Download Resume
Shubhang Dhawan
Neon AI android
LLMGPT-3 / Gemini
RAGRetrieval systems
AGENTSAgentic workflows
NLPLanguage intelligence
MLLearning systems
VECTOR SEARCHEmbeddings / Azure AI
WORK IN PROGRESS / BUILDING AI SYSTEMS
3+Years Experience
20+Projects Built
4+Companies / Internships
GenAIProduction Systems
01 / ABOUT ME

I design and ship AI systems that combine large language models, retrieval pipelines and full-stack engineering.

My work spans data, artificial intelligence and machine learning, including Generative AI, retrieval systems, intelligent automation and scalable software.

My work sits at the intersection of machine learning, language models, backend engineering and cloud technologies — with a focus on turning ideas into usable AI products.

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RAG Systems

Grounded document understanding, embeddings, semantic search and contextual generation.

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Agentic AI

Intelligent workflows combining LLM reasoning, tools and automation.

☁

Scalable Backend

FastAPI, microservices, cloud deployment and production-oriented architecture.

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Real-World Impact

AI systems designed around practical business workflows and usable products.

02 / SELECTED PROJECTS
01↗
Intelligent Q&A / RAG

PowerMind AI

Intelligent Q&A on the book The 48 Laws of Power.

GenAIRAGLLMs
02↗
AI Agent / Marketing Insights

MarketIQ

AI agent for marketing data insights.

AI AgentsLLMsMarketing Data
03↗
Healthcare NLP

Healthcare Chatbot

Conversational healthcare assistant that answers natural-language questions using medical knowledge resources.

NLPHealthcareConversational AI
04↗
News Feed Intelligence

NewsFeedHarmony

RSS news workflow that organizes articles with sentiment and keyword analysis for easier discovery.

PythonRSSSentiment Analysis
03 / EXPERIENCE
01
Jan 2026 - Present

Software Developer - AI Engineer

SIEC Education Pvt. Ltd.

On-site / Gurugram

  • Built and scaled a production RAG-based GenAI chatbot using OpenAI GPT, with MCP-style model and data integration and familiarity with Gemini and Claude.
  • Developed agentic LLM workflows using LangChain and LlamaIndex, with LangGraph orchestration, guardrails, response evaluation, observability, and hallucination mitigation.
02
May 2025 - Nov 2025

Large Language Model Engineer Intern

Infutrix Technologies

On-site / Mohali

  • Architected an LLM-based automated grading system using multimodal OCR and NVIDIA NeMo Megatron GPT for contextual validation.
  • Built GenAI evaluation and testing pipelines with semantic similarity scoring, validation, monitoring, and reliability-focused safety controls.
03
Feb 2025 - May 2025

Machine Learning Engineer Intern

NXG Ventures

Remote / Gujarat

  • Built and deployed a FastAPI-based fraud detection microservice using PyTorch and transaction embeddings in a containerized environment.
  • Improved reliability through threshold calibration, model evaluation, validation testing, and performance monitoring on imbalanced datasets.
04
Nov 2024 - Feb 2025

AI Engineer Intern

Times Network / Bennett Coleman & Co. Ltd.

On-site / Noida

  • Built an experimental 24/7 AI-driven newsroom using LLM content generation and text-to-speech, including a GPT-4o Mini editorial assistant.
  • Implemented retrieval grounding, prompt validation, content safety controls, and response evaluation using LangChain and Azure AI Search.
05
Mar 2024 - Oct 2024

Large Language Model Engineer Intern

Frontera Health

Remote / USA

  • Built a GenAI health assistant using RAG, LlamaIndex, and Mistral 7B, integrating semantic search with MongoDB Atlas.
  • Deployed AI services on GCP using containerized workloads, with performance tuning, monitoring, evaluation, and reliability-focused optimization.
04 / TECHNICAL STACK

Tools I use to turn
AI ideas into systems.

PythonSQLFastAPIREST APIsMicroservicesMachine LearningNLPTransformersGitGCPAzureMCPAI GuardrailsLLM OrchestrationAgentic AILangGraphDockerGeminiVector DatabasesCloud DeploymentClaudeMonitoringLLM EvaluationSafety ControlsGenAI TestingHallucination MitigationTracing and Observability
05 / PUBLICATIONS
R01

IEEE / RECOMMENDATION SYSTEMS

Drug Recommendation System using BGFT-DBi-LSTM

Built a system to recommend safer, more personalized drugs by considering individual health needs.

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R02

IJSREM / RESPONSIBLE AI

Ethical Implications of AI in Healthcare

Explored AI's impact on healthcare, focusing on ethical concerns around privacy, data security, and bias.

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06 / CONTACT

Have an AI problem
worth solving?

Let's build something intelligent, useful and production-ready.