Anubhav R.

Anubhav R.

Senior Lead Software Engineer

Gurgaon , India

Experience: 8 Years

Anubhav

Gurgaon , India

Senior Lead Software Engineer

58243.1 USD / Year

  • Notice Period: Days

8 Years

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About Me

Seasoned developer with 8 years hands-on development experience and leading teams. Adept at reviewing plans and implementing highly scalable, multi-platform & cloud applications. Achievements include high throughput low latency document conversion an...

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Portfolio Projects

Description

  • Implementation of Tiny Yolo for human and vehicle detection @ 26FPS with 15 classes on Raspberry Pi and Intel Compute Stick 2.
  • Scene Understanding and automatic visual compensation for non-ideal environmental conditions – Fog, Dust, Day and Night.
  • Video Tagging for fast video retrieval using search by tags

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  • Integration of VLC library in VMS and develop plug-ins for Real Time perimeter surveillance, camera stabilization, face detection, human detection on FLIR & non- FLIR video feeds
  • Modern C++11 based interface design

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Description

  • Document Image Analysis - Enhancement, Detection and OCR of complex unstructured/structured text and graphical scanned documents.
  • Text Detection and Recognition with Image reconstruction and extraction of tables, Automatic Page Layout Detection.
  • Replaced manual comprehension of documents with automatic, usingimage processing and machine learning techniques, boosting theproductivity from 7500 ppm to 1.5L ppm.
  • Financial Statement Forensics – Fraud
  • RESTful API Programming for Unix server and integration in a micro-service architecture and Kafka Queues.
  • NLP - Dictionary lookup and correction of OCR results, Transactional Narration Classification into 26 buckets
  • Optimized code for performance and footprint, considering advantages of h/w platform using multi-threading at loop levels with data flattening techniques

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Description

  • Structured Text Detection and Recognition with automatic card detection in the wild and orientation correction.
  • ID classification e.g. PAN cards, DL, Adhaar and Voter ID.
  • Applied semantic search and NER for identifying and capturing details

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