Harshit Dawar
Building $1M+ AI Solutions at Scale | Architecting Enterprise GenAI Systems | Databricks Champion | 33x Certified Architect (RHCA) | AIOps Expert | Senior Consultant at Infogain
- Role
- Advisor at topmate.io
- Location
- West Delhi, DL, IN
- LinkedIn followers
- 500 followers
About Harshit Dawar
I architect AI (AIOps) systems that handle millions of users and save millions of dollars.Currently leading enterprise AI transformations at Infogain, solving problems most consider impossible:→ Built GenAI platform processing 1M+ daily queries (95% cost reduction)→ Deployed ML systems driving 77% sales growth for Fortune 500s→ Deployed MLOps pipelines including end-to-end Data Engineering pipelines driving 75% sales growth for Fortune 500s→ Architected production pipelines handling 10TB+ daily data→ Reduced system latency from 47 seconds to 0.3 secondsMy approach: Build fast. Fail fast. Scale fast. CREDENTIALS- Databricks Champion (Top 150 globally)- Among very few in the world to achieve 33 Global Certifications & become official Instructor for Databricks & The Linux Foundation- 33 Global Certifications (AWS ML Specialty, CKA, 8x Azure)- Official Instructor: Databricks & Linux Foundation- AWS Community Builder TECH STACK: AI/ML: Machine Learning, Deep Learning, Transfer Learning, Natural Language Processing, Computer Vision, AWS SageMaker, Azure Machine Learning Studio, Vertex AI, AWS Transcribe, AWSTranslate, AWS Textract, MLFlow, Image Processing, Image Generation, Image Reconstruction Generative AI: ChatGPT, Google Bard, Perplexity, Diffusion Models, Stable Diffusion, Midjourney, Artificial General Intelligence (AGI), Perplexity, Dall-E/ Dall-E 2, CrewAI, AutoGPT, Langchain, Langgraph, Autogen, Claude Programming Languages: Python, SQL, HCL, YAML, C/C++, Scala, Java Analytics/Pipelines: BigQuery, Databricks, Dataflow, Pub/Sub, PySpark, AWS Data Pipelines, Snowflake, Azure Data Factory, Azure Synapse, AWS Glue, AWS Kinesis, Datafusion, Dataproc, Composer, Apache Airflow, Looker, Spinnaker Cloud Platforms: AWS, GCP, Azure, IBM, Oracle DevOps: Docker, Kubernetes, Openshift, Podman, Linux, Git/GitHub, Jenkins, Terraform, Ansible, Podman, Azure DevOps, AWS DevOps, GitHub Actions, GitLab, Helm, Crossplane Databases: Vector Databases, MySQL, PostgreSQL, MongoDB, Cassandra Queue System: RabbitMQ, Apache Kafka, AWS SQS, AWS MQS, AWS SNS, AWS MSKGenAI (Langchain, Claude, GPT-4), Databricks, Kubernetes, AWS/Azure/GCP, RabbitMQ, Airflow, Production MLI write about- Production AI that actually works- Scaling systems from POC to millions of users- Technical decisions that save or cost millions- Real architectures from real problems- Complete AIOps stack that actually helps- Critical Technology IntegrationBuilding the future of AI, one system at a time. Tech collaborations: c••••••••@gmail.com
Experience
Advisor
Mar 2025 — Present
Education
UPES
Bachelor's degree, Computer Science with specialization in Big Data
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