cv

General Information

Full Name Sai Venkatesh Ramesh
Date of Birth 3rd July 1996
Nationality Indian
Languages Tamil, English, Hindi

Work Experience

  • Oct, 21 - Pres
    Individual Contributor: Software Development at Motorq Labs LLP, Chennai.
    • Building a connected-cars data and analytics platform with data streams ingested from OEM-embedded systems and aftermarket telematics
  • Jun, 18 - Oct, 21
    Software Development Engineer at Samsung Electronics Pvt Ltd, Chennai.
    • Order Monitoring - Designed scalable pipelines that aggregated order lifecycle data from heterogeneous databases and transformed them into structured documents. Created visualization buckets and dashboards for ad-hoc analysis, tracking and monitoring.
    • Mobile Point Of Sale - Built state machines following SAGA design pattern for handling integrations with omni-channel retailers
    • Endless Aisle - Designed a priority fulfillment system to route created orders to Samsung Warehouses affected due to Covid 19.
    • Rules Engine - Created a JSON DSL based blueprint tool for orchestrating distributed messaging workflows.
    • Postal Code Limit Restriction - Designed a highly available throttling system to regulate the inflow of orders within a time period.
    • Part of the Internal Committee where responsibilities included organizing workshops, writing white papers and mentoring interns.
  • Oct, 20 - Aug, 21
    Research Intern at Product Labs, IIIT-Hyderabad.
    • Evaluated CenterNet, adapted Deep Layer Aggregation and Deformable Convolutions for multi-tank detection in infrared videos.
    • Extracted Histogram of Gradients descriptors of tanks with templates and combined with Wasserstein distance to filter false targets.
    • Designed a Euclidean based Centroid Tracker for tracking and associating detected tanks.
    • Built a multi-threaded pipeline that alternated between Detection and Adaptive Template Matching with a throughput of 74 FPS.
    • Filed the end product for a provisional patent.
  • Aug, 17 - May, 18
    Research Intern at Glosys Technology Solutions Pvt. Ltd.
    • Built an Encode-Decoder architecture with CNN-LSTM to generate captions for Indian Road Safety signs to assist vehicle drivers.
    • Guided the research on ‘GlosysNetIC’ architecture for stacking multiple CNN Encoders with Transformer Decoder.
    • Presented the work at the Mining Intelligence and Knowledge Exploration (MIKE 2019) conference.
  • Mar, 17 - May, 17
    Software Development Intern at Hischip Software Technologies Pvt Ltd
    • Worked on building a website from scratch using Facebook log-in to provide a seamless experience.
    • The site allowed new users and existing users to take a survey for better understanding of the customer base.
    • Based on their preferences, the website would display necessary content.
  • Apr, 16 - Jun, 16
    Software Development Intern at Nesh Technologies, Inc
    • Developed a prototype using Keyhole Markup Language to construct a geo-fence drawed on 48 border critical points collected from F3 Police Station, Chennai, TN.
    • Created a weighted graph with the critical points using police headquarters and user location as nodes.
    • Leveraged Dijkstra's algorithm for priority routing among the nodes in the graph with extra priority for nodes with in the fence.
    • Designed a Fluid-UI for simplistic use of the application.

Education

  • Aug, 14- May, 18
    Sri Venkateswara College of Engineering – B.E. in Computer Science.

Patents

  • Aug, 21
    • A System and Method for Depth-based Recognition and Tracking of a Pre-defined Physical Structure Indian Patent Application No. 202141034670

Honors and Awards

  • Sep, 21
    • Special Mention Prize - Hackathon of Pie
    • Designed a virtual teaching framework, where teachers can write, share, collaborate and present remotely. The product looks to bridge the gap between physical education and virtual education.
  • Aug, 21
    • Finalist in OpenCV Spatial AI Competition
    • Combined finger movements with OAK-D device’s depth information to enable real-time air writing in a virtual 2D grid space using a blend of 2D hand keypoint detection and optical flow to enhance the digital teaching experience.
    • Proposed and implemented “Expandable Board” that creates an infinite writing space and “Lazy Move” to virtually navigate in it.
  • Dec, 20
    • Most Innovative Project in Samsung GMC Hackathon.
    • Samsung Chain - Group Buy. Designed a microservice that enabled B2C customers to collaborate and avail tiered pricing offers designated for business users.
  • Jun, 20
    • Most Inspiring Employee, Samsung Performance Awards.
  • Jun, 19
    • Creative Intelligence, Samsung Performance Awards.
  • Mar, 18
    • Runners-Up in the Ministry of Empowerment of Persons with Disabilities, Smart India Hackathon, Govt. of India.
    • Built a Smart Parking Application to help people with disabilities find parking spaces allocated for them. Parking Lot availabilty could be tracked using IR Sensors connected to Raspberry Pi or by processing parking camera footages using CNN

Certifications

  • May, 20
    • Deep Learning - Udacity.
  • Dec, 17
    • Machine Learning - A Case Study - Coursera - Univ. Of Washington.
  • Dec, 17
    • Machine Learning - Classification - Coursera - Univ. Of Washington.
  • Dec, 17
    • Machine Learning - Regression - Coursera - Univ. Of Washington.
  • Dec, 17
    • Machine Learning - Coursera - Stanford Univ.

Services

  • University
    • 2017: Led a team of 7 and built a Forum-Website for facilitating Intra-Departmental Research Collaboration and Communication.
    • 2017: Executive Member for Association of Computer Engineers - Organized Interrupt - 2017, National Technical Symposium of SVCE.
  • Service
    • 2015: Care Club Volunteer : Raised Awareness, cleaned lake and planted trees in 5 different locations in Sriperumbudur, Chennai.
    • 2015: Photography Club : Captured thought-provoking pictures for raising awareness in maintaining a clean environment and avoiding plastic.

Software Development Skills

  • GitHub: https://github.com/Sai-Venky/.
  • Machine Learning Frameworks: PyTorch, Keras, Tensorflow, Scikit-Learn
  • Programming Languages: Python, C, C++, Go, JavaScript (Node.js), Dart, SQL.
  • Programming Environments (IDEs): Visual Studio.
  • Database Systems: PostgreSQL, Cockroach, Elasticsearch, Redis, MySQL.
  • Operating Systems: Mac OS, Linux (Ubuntu), Windows.
  • Command Line: Bash, Git, PowerShell.
  • Agile Tools: Jira, Confluence.
  • Deployment Tools: Docker, AWS.

Other Interests

  • Sports: Cricket, Table Tennis, Swimming, Badminton, Soccer.
  • Hobbies: Volunteering, Politics, Photography, Travelling, Reading.