Email: harshverma59@gmail.com
Based in: San Francisco Bay Area(CA), United States
Languages: English, Hindi
#Let’s talk AI !! "Future belongs to those who see possibilities before they become obvious" : 7+ years of versatile experience in startup Tech Industry. Harsh Believes in three P's of professional life : passion, persistence and people to learn, grow, solve problems mutually. Harsh's zeal to make things happen defines him as "Researcher by passion 💻 & Entreprenour at heart !! 🖤
AI | Deep Learning | NLP | Computer Vision | Distributed Big Data Machine Learning Engineering | Speaker.
• Experience and Expertise in Machine Learning, Big Data, NLP, Deep Learning and Computer Vision.
• Big Data : Recommendation systems, Data Pipeline Google cloud platform, Spark, Kafka and Hadoop.
• Passionate about building intelligent machines and distributed system designs.
• Master's in Computer Science with specialization in Big Data Science, ingraining into core aspects of Natural Language Processing(NLP), Machine Learning(ML) and Artificial Intelligence(AI).
• Enthusiastic about Entrepreneurship, Startup culture and Data product companies.
• Love to learn new technologies, meet people, manage events and share experiences.
• Linkedin Campus Editor for University of Texas.
• Building strong network relations. Always open to talk about Ideas, Research, Entrepreneurship, Conference events and Data/Machine learning solutions.
I strongly believe : “Learning never exhausts the mind. For the things we have to learn before we can do them, we learn by doing them !!”
As a Machine Learning Researcher experienced in all stages of the development cycle for data driven projects, I work at intersection of Data Science and Data Engineering.
• Currently Working at the intersection of Cybersecurity, Big Data Science and Engineering.
• Firewall ML, Cloud Services.
• Big Data Engineering Platform.
• Security policy improvement and Recommedation Engine.
• Research, Test Design face Detection Module.
• Developing Time Range Auto setting utility for ground truth Object Detection Module.
• Research and build video and images similarity modules.
Tech Stack: Python3, Faiss, Pytorch, Resnet-30, Object Detection Algorithms, Computer Vision, Machine Learning
•Big Data ML frameworks Development : Building Distributed Machine Learning System for Multi App-Id prediction over massive traffic logs.
Tech Stack: Scala, Java, Python3, Tensor-flow, Google-ML, Elastic-Search, Spark, Hadoop, Google Cloud Platform
• Exploring and diving into various aspects of Big-Data Technologies and Machine Learning.
• Modular Auto-Deployment Pipeline for various projects(Jenkins, fabric, Supervisor).
• Developed Content visualisation console(WT-Forms, Python, Flask, HTML, CSS, JS).
• Server/Tools & Engineering Development.
Tech Stack: Java, Python, Redis, Mongo-DB, Kafka, influx-dB, Jenkins, Data Driven Development, Machine Learning, FastText for text, densenet for images.
• Bridge the Gap between college and Firefox new upcoming Technology , Firefox OS.
• Manage and organise University level Firefox events
Management Stack: Program management, Event Organizer, Firefox OS, Firefox Tech Tools
• Developing Real time streaming Object Tracking, Detection and Analysis Machine Learning System.
• Design and Improve MOTA of various object tracking algorithms building an end to end metrics evaluation pipeline system.
Tech Stack: Python, Spark, ML-Engine, TensorFlow, Deepshot YOLO-V3, Object Detection, Computer Vision, Deep learning
• 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.
Tech Stack: IOT, Drone-tech, DeepLearning, Big Data, Spark-ML, NLP
• Mentored Senior undergrad students to build a real time application solving challenges in Medical domain using Machine learning, Blockchain, Big Data.
• Developed Data Collection Analytics and Events(DCAE) Module.
Tech Stack: Java, Python3, AWS
• Worked on research-cum-development under eminent scientist 'Dr. Harish Chandra Karnatak'.
• Key Research Areas : Big Data Analytics in GIS.
• 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.
Tech Stack: Advance Java, J-Query, Web Developement, HTML5, PostgreSQL
• IT Department Data Management, Information security and website management.
Tech Stack: PHP, HTML-5, CSS, JavaScript, Java
Design and Management Skills
Technical Skills"Thoughts considered while builing products"
- Steve Jobs
- Bill Gates
- Warren Buffett
- Thomas Edison
- Elon Musk
- Mukesh Ambani
Without requirements or design, programming is the art of adding bugs to an empty text file. -- Louis Srygley
Worked on versatile software developement and Machine learning projects, some of them could be found as featured below !
Honored for speaking on developed Performance Tool HikeRunner at @#ATAGTR2017 http://agiletestingalliance.org/agileBlogs/atagtr2017-meet-our-speaker-series-harsh-verma/
Selected to present the published research work on Secure Real-Time Heterogeneous IoT Data Management System vision paper at Open Data Science Conference ODSC(https://odsc.com/).
Honored to Interview with Life Page India to share experiences and talk about software development process http://www.lifepage.in/.
Awarded Certificate of merit for securing 3rd Rank in Uttarakhand Technical university B.Tech(Hons) CSE program(2011-2015).
Appreciated for being Firefox Student Ambassador bridging the gap between campus and Mozilla firefox organization
Awarded Certificate of Merit from CBSE Board to be among top 0.1% of Achievers.
Few featured patent and published research papers are mentioned below!
COVID Preventive Automated Entry Point (COPAEP) is an integrated system which incoporates a definite number of subsystems each enabling checks and/or preventive actions against the most obvious symptoms of coronavirus.
Read More
In this paper, the focus is on an analytical load testing tool and approach used for load testing various services supporting any protocol. The tool approach comprises robust modular design pattern, scalable for incorporating any new test plan for a load test.
Read More
The Paper envision the aspects of complexity dealing with real time data from various devices in parallel, building solution to ingest data from different IOT devices and forming a secure platform to process data in a short time using various techniques of IOT edge computing.
Read MoreI pen down important Tech news articles and tech blogs to share my project journey challenges and outcomes, Follow the same as featured below !!
Invited to Interview with Life Page India to present my views, upcoming plans, experience, challenges, software development process and career aspects for upcoming students. Talked about software developemnt cycle and career aspects for upcoming developers.
The Research work demonstrates architectural design pattern, generation and execution of test plan and load simulation by analytic Load Runner tool. The framework can mimic the real-time user scenarios and generate specific load to test major performance bottlenecks.
Honour for speaking on developed Performance Tool HikeRunner at @#ATAGTR2017.
IEEE International Conference on Trust, Privacy and Security in Intelligent Systems, and Applications.
Vision Track: Trust, Privacy and Security in Intelligent Systems
published research paper titled "Secure Real-Time Heterogeneous IoT Data Management System"
The growing adoption of IoT devices in our daily life engendered a need for secure systems to safely store and analyze sensitive data.
This blog will provide quick overview of helm that helps to manage kubernetes applications, providing startup guide with detailed installation steps and practical hands on of using YugabyteDB.
For installation and details, follow the quick guide to get the overview of GK-Engine and Helm.
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 undermentioned details
