Harsh Verma

Software Engineer

San Francisco, California, United States9 yrs 4 mos experience
Most Likely To SwitchAI Enabled

Key Highlights

  • 10+ years of versatile experience in AI technology.
  • Expert in scalable AI solutions and mentoring startups.
  • Proven track record in building real-time ML systems.
Stackforce AI infers this person is a SaaS AI specialist with a focus on scalable machine learning solutions.

Contact

Skills

Core Skills

Artificial Intelligence (ai)Generative AiLarge Language Models (llm)Machine LearningGoogle Cloud PlatformInvestmentsStartup DevelopmentComputer VisionResearch And Development (r&d)Natural Language Processing (nlp)Data Science

Other Skills

AIAlgorithmsApache KafkaApache SparkAutomated Software TestingBig DataData EngineeringData ModelingData StructuresDeep LearningDesign ThinkingElasticsearchEnglishEntrepreneurshipEvent Management

About

#Let’s talk AI :). 10+ years of Versatile experience in AI Tech Industry. "Future belongs to those who see possibilities before they become obvious", I Believe in three P's of professional life : passion, persistence and people to learn, grow, solve problems mutually. Portfolio Web Link: https://iamharshverma.com GitHub Profile: https://github.com/iamharshverma What I do ? I specialize in offering scalable AI solutions, mentoring aspiring entrepreneurs, delivering impactful conference talks, and advising startups on their AI strategies. Whether it's navigating the complexities of AI implementation, preparing for technical interviews, or fostering innovation through AI-driven solutions, I am committed to driving meaningful outcomes in the tech industry. Follow and Let's connect to explore opportunities for collaboration, share insights on AI trends, AI startup investing & Mentoring to leverage AI to drive innovation and growth. Have an amazing startup Idea, research, event/conference where you would like to meet and talk; feel free to drop me a message or reach out at-> harshverma59@gmail.com - Passionate about building intelligent machines and distributed system designs. - Generative AI, LLM, AI-Agents. - Enthusiastic about Entrepreneurship, Startup culture and Big Data product companies. - Experience and expertise in large-scale production Machine Learning systems, AI, Big Data, NLP, Deep Learning, Computer Vision, ML pipeline solutions using TFX and Kubeflow, SparkML - Experience with building high-volume real-time data streams distributed data platforms, such as Spark, Kafka, Zookeeper, ELK (Elasticsearch, Logstash, Kibana). - Experience with deep neural network architectures and frameworks like TensorFlow, Kubeflow, SparkML. - Experience with distributed computational frameworks (YARN, Spark, Hadoop, Kubernetes, Docker) - Big Data : Recommendation systems, Data Pipeline Google cloud machine learning, Pyspark, Analytics. - Master's in Computer Science specialization in Big Data Science, ingraining into core aspects of Natural Language Processing(NLP), Machine Learning(ML), Artificial Intelligence(AI). - Love to learn new technologies, meet people, manage events and share experiences.

Experience

9 yrs 4 mos
Total Experience
3 yrs 1 mo
Average Tenure
5 yrs 8 mos
Current Experience

Palo alto networks

3 roles

Principal Software Engineer - AI/ML

Promoted

May 2025Present · 11 mos · Santa Clara, California, United States

  • Building Generative AI solutions in product line !!
  • AI agents & Security Copilot
Artificial Intelligence (AI)Generative AIMachine Learning

Senior Staff Software Engineer - AI

Promoted

Aug 2021May 2025 · 3 yrs 9 mos · Santa Clara, California, United States

  • Working at the intersection of Big Data Science and Engineering.
  • Security Policy optimization recommendation system.
  • Design and build batch and real-time ML data pipelines with data processing tools in Google Cloud Platform, Pyspark, BigQuery, Airflow, Dataproc.
  • Experience in building high-volume real-time data streams distributed data platforms, such as Spark, Kafka, Zookeeper, ELK, Kubernetes based systems.
  • Tech Stack: PySpark, Machine Learning, Scala, Google cloud platform
Large Language Models (LLM)Software DevelopmentGenerative AIArtificial Intelligence (AI)Machine Learning

Staff Software Engineer - Data/AI

Aug 2020Aug 2021 · 1 yr · Santa Clara, California, United States

  • - Scaling Real time Data Intensive and ML Based Systems to production.

Progressive ventures

Founding Limited Partner & Fellow

Aug 2024Present · 1 yr 8 mos · San Francisco Bay Area · On-site

  • Contributed capital investment and provided essential fund support to drive portfolio growth.
  • Collaborated with stakeholders in fundraising initiatives, enhancing relationships with investors and partners.
  • Leveraged an extensive network to foster innovation and support the strategic development of startups.
InvestmentsNetworkingStartup Development

Hypergiant

Machine Learning Engineer

Sep 2019May 2020 · 8 mos · Texas, United States · On-site

  • As part of Hypergiant Sensory Science Machine Learning Team worked on creating a metrics based pipeline for real time video detection and tracking system.
  • Machine Learning Video content similarity using Faiss facebook lib.
  • Worked to build Face detection Module on top of real time data.
  • Designing and Developing real time Machine Learning/Artificial Intelligence Pipeline.
  • Designing Metric Evaluation, Model Versioning Pipeline.
  • Tech Stack : Machine Learning, AI, Computer Vision, YOLO-V3, Tensorflow
Natural Language Processing (NLP)Computer VisionSoftware DevelopmentMachine Learning AlgorithmsMLOpsMachine Learning

The university of texas at dallas

Graduate Research Assistant

Aug 2019Jan 2020 · 5 mos · Dallas-Fort Worth Metroplex · On-site

  • Worked as an individual researcher under prof Dr. Latifur Khan (Big Data Lab) in the area of secure IOT, Big Data, DroneTech, DeepLearning, Edge Computing, Real Time Systems.
  • Research Work : Secure Real-Time Heterogeneous IoT Data Management System vision paper published in IEEE International Conference on Trust, Privacy and Security in Intelligent Systems.
  • Publication Link : https://ieeexplore.ieee.org/document/9014355
  • http://www.sis.pitt.edu/lersais/tps/2019/accept_papers.html
Software as a Service (SaaS)Natural Language Processing (NLP)Research and Development (R&D)Machine LearningNeural Networks

Palo alto networks

Big Data Software Engineer

May 2019Aug 2019 · 3 mos · San Francisco Bay Area

  • Big Data ML frameworks Development : POC on Distributed Machine Learning System for Multi App-Id prediction over massive traffic logs Google Cloud Platform.
  • Prog Lang : Scala, Java, Python
  • Tech Stack : Tensor-flow, Google-ML, Elastic-Search, Spark, Hadoop, Google Cloud Platform

Hike messenger

2 roles

Software Engineer

May 2015Aug 2018 · 3 yrs 3 mos

  • Prog. Lang : Java | Python
  • Data Science :
  • Big-Data Technologies and Machine Learning.
  • Extended content-tagging modules(Video/Image : Spam/Explicit content Detection)
  • Developed Celebrity/Face Detection and recognition module
  • Content Similarity Detection(Images[Densenet], Text[fastText]), ranking & recommendation system.
  • Backend DB for data flow (Cloud-Spanner, Mysql)
  • Built Modular Auto-Deployment Pipeline for various projects(Jenkins, fabric, Supervisor)
  • Created scripts to generate relevant data flow on stage(test env)
  • Server/Tools & Engineering Development :
  • Auto Deployment Module : Multiple instances parallel execution, deployment using Ansible.
  • Performance Engineering at Hike
  • Developing In-house Performance/Load scale Framework(HikeRunner)
  • Building CI Pipeline using Jenkins for performance automation.

Software Engineer Intern

Apr 2015May 2015 · 1 mo

  • Diving into Start-up Industry and learning existing frameworks.
Data ScienceSoftware as a Service (SaaS)Automated Software TestingArtificial Intelligence (AI)Google Cloud Platform (GCP)Big Data

Indian institute of remote sensing (iirs), indian space research organization (isro)

Research And Development Intern

Jan 2015Apr 2015 · 3 mos · Indian Space Research Organization

  • Worked on research-cum-development under eminent scientist 'Dr. Harish Chandra Karnatak'.
  • Key Research Areas : Big Data Analytics in GIS
  • Roles and Responsibilities :
  • Database management and Integration of Modular Maps using Open Layer API, Geo-server, PostgreSQL.
  • API's to trace any location coordinate to enable specific data download and analysis.
  • Implementation of Bhuvan and Google maps API in navigation search framework.
  • Development of modules necessary to analyse spatial data in an efficient way supporting various filters and graphical views.
  • Worked on database layer using PostgreSQL, enhancing existing DB layer and adding new functionalities.
  • Developing presentation layer modules for web view using Advance Java and J-Query.

Mozilla india

Mozilla Firefox Ambassador

Feb 2014Mar 2015 · 1 yr 1 mo · India

  • Roles and Responsibilities :
  • To bridge the Gap between college and Firefox new upcoming Technology , Firefox OS.
  • Manage and organise University level Firefox events.

Education

Stanford University Graduate School of Business

Executive Business Management

The University of Texas at Dallas

Master of Science - MS — Computer Science (Data Science)

Uttarakhand Technical University

Dehradun Institute of Technology | B.Tech(Hons) — Computer Science & Engineering

Jan 2011Jan 2015

Kendriya Vidyalaya

High School(HSC) And Senior Secondary(SSC) — Science Stream

Jan 2008Jan 2011

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