Hi, I'm Pawan

I build enterprise-grade systems that humanize data and turn LLMs into real, shipped products.

Senior Machine Learning Engineer | NLP & GenAI | Cloud Native AI

Profile Picture
01.

About Me

Architecting Impactful NLP and GenAI Solutions

With 5+ years of professional experience, including 4 years specializing in NLP, LLMs, and GenAI, I excel at building scalable, ethical AI systems like RAG-powered chatbots and multi-modal Agents, using tools like LangChain, Hugging Face, Vertex AI, SageMaker and Terraform.

My work has helped organizations reduce operational costs, boost user engagement by up to 25%, and streamline operations through thoughtfully designed solutions, from writing robust ML pipelines to monitoring models for continuous training.

I specialize in building multi-agent orchestration systems, production-ready guardrails for responsible AI deployment, and synthetic data to enhance data quality and reduce annotation costs using LLMs. My expertise includes implementing advanced RAG architectures with hybrid retrievers and developing custom evaluation frameworks to measure hallucination rates and factual accuracy.

I'm passionate about driving impact, whether it's cutting ML infrastructure costs through cloud migrations or automating workflows with CI/CD pipelines, projects I often share on GitHub and break down on Medium.

Beyond the tech, I find joy in mentoring through workshops and contributing to the ML community, because for me, AI is about creating lasting value while uplifting others along the way.

+5 Years of ML Experience
Conversational AI, Multi Agent Workflows, RAG, MLOPS Specialization
+40% Infra Cost Reduction via MLOps Optimization
02.

Experience

Senior Machine Learning Engineer

Oct 2024 – Present
  • Led 5+ multi-modal LLM projects for synthetic data generation, OCR, and invoice automation, reducing annotation costs by 40%
  • Built CI/CD and ML pipelines that cut model deployment time by 40% while improving reproducibility
  • Architected RAG-powered chatbots with multi-agent design, achieving 25% higher user engagement
  • Developed AI guardrails with risk assessment and bias mitigation for regulatory compliance
  • Automated infrastructure with Terraform and implemented proactive model monitoring

Machine Learning Engineer

Mar 2022 – Oct 2024
  • Led 3+ ML projects with agile methods, improving code quality by 20% and reducing deployment time by 30%
  • Migrated ML infrastructure to GCP, cutting costs by 30% and enhancing system elasticity
  • Built ML/ETL pipelines and data governance protocols using Kubeflow and Airflow

Machine Learning Researcher

Oct 2020 – Feb 2022
  • Researched advanced RL algorithms for the EU-funded Braine Project
  • Developed cloud-based distributed ML experiments for real-time applications
  • Maintained Kubernetes clusters for scalable ML experiments

Software Engineer

Sep 2015 – Jul 2018
  • Maintained Websphere and Weblogic environments with 99.9% uptime
  • Optimized server configurations, reducing response times by 35%
  • Automated deployments, cutting deployment time by 60%
03.

Skills

My technical toolkit is built around cloud-native AI development, with a focus on implementing scalable and responsible ML systems.

Generative AI & LLMs

  • Google Agent Development Kit
  • MCP Servers
  • Human-in-the-loop
  • GPT-4o
  • Claude 3.7 Sonnet
  • Gemini 2.5 Pro
  • Llama 3
  • Gemini 2.0 Flash
  • Qwen 2.5
  • Few Shot Contextualization
  • Prompt Engineering
  • Synthetic Data Generation
  • Visual QNA
  • PII Data Masking
  • Multimodal AI systems

RAG & Vector DB

  • LlamaIndex
  • LangChain
  • Vector Databases (Qdrant, Chroma)
  • Embeddings (OpenAI, Cohere)
  • BM25 & Hybrid Retrievers
  • Multi-Query Retrieval
  • Parent-Child Document Patterns
  • Context Compression
  • Semantic Caching
  • Multi-Agent Chatbots
  • AI Guardrails
  • FAISS
  • BigQuery Vector Search
  • Re-ranking Algorithms
  • Self Reflection

MLOps & ML Engineering

  • Cloud ML platforms (Vertex AI, SageMaker)
  • ML Monitoring
  • ML Pipelines (MLflow, Kubeflow)
  • Feature Stores
  • Batch Predictions
  • LLM fine-tuning
  • Model distillation
  • Predictive Scaling
  • LLMOps best practices

NLP Frameworks

  • TensorFlow
  • PyTorch
  • NLTK
  • spaCy
  • Hugging Face Transformers
  • Scikit-learn

Cloud & Infrastructure

  • GCP
  • AWS
  • GPU optimization
  • Vertex AI
  • SageMaker
  • Cloud Run
  • Cloud Functions
  • Pub Sub
  • Cloud Load Balancer
  • Cloud DNS

CI/CD & DevOps

  • Cloud Build
  • Jenkins
  • PyTest
  • Artifact/Docker Registry
  • Rolling & Canary Deployments
  • Cloud Load Balancer
  • Cloud Run
  • Firebase
  • Terraform
  • Docker
  • Kubernetes

APIs & Web Development

  • Flask
  • FastAPI
  • Streamlit
  • RESTful Services

Data Engineering

  • SQL/NoSQL
  • BigQuery
  • Pandas
  • Spark
  • Airflow
  • ETL Pipelines

Responsible AI

  • Model evaluation frameworks
  • Bias detection and mitigation
  • Explainable AI techniques
  • Privacy-preserving ML
  • RLHF
  • Ethical AI governance
  • AI security (prompt injection defense)
04.

Projects

A selection of projects that showcase my expertise in Generative AI, RAG, Multi-Agent, and cloud-native AI development (More coming soon!)

05.

Education

M.Sc. Digital Engineering

Otto von Guericke University - Magdeburg, Germany (2022)

Specialization in Machine Learning, Deep Learning & Reinforcement Learning

B.Sc. Computer Science

Guru Gobind Singh Indraprastha University - Delhi, India (2015)

Specialization in Object Oriented Programming, Web Development & DBMS

06.

Certifications

Google ML Engineer Certification

Professional Machine Learning Engineer

Google Certified (May 2024 - Present)

Certified Professional Machine Learning Engineer with hands-on experience in building, deploying, and fine-tuning machine learning models on Google Cloud. Skilled at working with complex datasets, writing reusable code, and committed to incorporating responsible AI practices to ensure fairness.

Verify Certification
HashiCorp Terraform Certification

Terraform Associate (003)

HashiCorp Certified (Mar 2025 - Present)

Certified Terraform Associate with hands-on experience in designing, provisioning, and managing cloud infrastructure using Terraform. Skilled in Infrastructure as Code (IaC), automation, and state management, ensuring scalable and secure deployments that support AI and MLOps.

Verify Certification
07.

Contact

Let's build something amazing together

I'm always open to discussing new projects, creative ideas, or opportunities to be part of your vision.