HUSSAIN UJJAINI

C O M P U T E R E N G I N E E R

To achieve high career growth through a continuous learning process and keep myself dynamic, visionary, enthusiastic, competitive and updated with the changing scenario of the world. To work with a firm with a professional work driven environment where I can apply my knowledge and skills which would enable me to grow while fulfilling the organizational goals. I would work actively and would be full dedicated to the work given and would also like to explore new technologies that would benefit to the company and my career goods as well.

• Programming Languages:

Python, Java, C++ & C.

• Python Skills:

Multiprocessing, Threading, Cherrypy, PyQT, Fastapi, Numpy, Opencv, google-cloud-storage, maskrcnn, detectron2, triplet-loss.

• Databases:

MySQL, CouchDb.

• Deployment Tools:

Docker, Jenkins, Kubernetes (k8s, k3s)

Company Name Language Duration

Dosepack, Meditab Program Analyst in Artificial Intelligence Team working in Python backend for server-side development and

algorithms for Vision based analysis

From December

2018

Softvan Internship in Python, C++ (Machine Learning, Deep Learning, Neural Network)

6 months

(May – December

2018)

Innoventa Internship in Java, Javascript, HTML, CSS, Bootstrap, Ajax, Spring, Hibernate

1.5 years

(From 2016)

CAREER OBJECTIVE

TECHNICAL PROFILE

TRAINING AND INTERNSHIP

• Backend Python Technology

• Deployment tools

• Deep Learning

• Artificial Intelligence

Qualification Board Institute Passing Year Result

Bachelor of

Computer

Engineering

GTU L.J.I.E.T. 2019 CPI: 9.55

CGPA: 9.41

HSC GHSEB St. Xaviers 2015 91.60 %tile

SSC GSEB Bright English 2013 98.80 %tile

Project Title Technology Used Description

PyQT app QtDesigner, Python – PyQT Application to calculate various matrix Various server code Python – cherrypie, fastapi Server application (Various applications)

Robot server code Python – threading, cherrypy,

fastapi, numpy, couchdb

Server application to control the

complete robot to dispense pills filled

packs

Deployment Kubernetes (k8s, k3s), Jenkins,

Docker

All the projects application are docker

deployed, scalable on Kubernetes

Pill Vision System Python - multiprocessing,

cherrypy, fastapi, maskrcnn,

triplet loss, tensorflow, numpy,

opencv, pytorch, google-cloud-

python

Dockerised multiprocessing python

server code for detecting and

classifying pills present in Hopper

(Resting area for pills) and uploading

the captured images to cloud using

google-cloud-python services

Face Recognition API Python Flask API,

C++ (dlib, opencv)

API based facial recognition using

Deep learning and CNN in C++.

PROJECTS

EDUCATION

AREAS OF INTEREST

• Certified as Coordinator in Notion 2017 held at LJIET.

• Certified as Coordinator and Website Developer in Notion 2k18 held at LJIET.

• Held Team leader during village visit to Bhat village.

• Actively Participated in LJ’s Innovation Village at National Level.

• Selected for advisory grooming at LJ Institute of Innovation and Entrepreneurship.

• Selected to receive funding upto 2 lakhs for our project AI in Railways from LJ Start-up week 2018.

• Participated in Blind Coding event held at LD’s Lakshya I hereby declare that the above information is true to the best of my knowledge. Contact 756-***-****

Email adncq4@r.postjobfree.com

D.O.B. 22nd October, 1997

Address E203, Paradise Residency, Nr. Potalia cross road, Saraspur, Ahmedabad - 380018

Hobbies Reading about new technologies

Checking out changelogs for development libraries

Coding and finding new solutions for developing projects Watching Hollywood Series

Languages English, Hindi, Gujarati (Mother Tongue) Soft Skills Positive attitude

Good communication skill

Enthusiastic

Quick learner

Creative mind

Adaptive nature

Team work skill

Effective Time management

ACHIEVEMENTS AND EXTRA-CURRICULAR ACTIVITY

PERSONAL DETAILS

DECLARATION

Contact this candidate