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Associate Software Engineer
2y 4mos
vakilsearch, Jun 24' - Present
@Abirahamlincoln
ABIRAHAM LINCOLN A
@Abirahamlincoln
Backend Developer | Node.js | Express.js | REST APIs | Python | FastAPI | Flask | Automation | Elasticsearch | MongoDB | Redis | Celery | RabbitMQ
Backend Developer | Node.js | Express.js | REST APIs | Python | FastAPI | Flask | Automation | Elasticsearch | MongoDB | Redis | Celery | RabbitMQ
Associate Software Engineer, vakilsearch
Chennai, India
2
projects
2
0
prizes
0
5
hackathons
5
0
Hackathons org.
0
10
contributions in the last year
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Sep
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2 years 4 months
Jun 24' - Present
Jun 23' - Jun 24'
Maintained a distributed proxy service using Squid, boosting scraping efficiency by 60%.
Optimized MongoDB and Elasticsearch, improving performance by 35%.
Built secure APIs for real-time B2B use.
Aided migration from monolith to microservices.
Used LLM to extract invoice data, easing GST filing.
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2y 4mos
vakilsearch, Jun 24' - Present
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A small handheld device takes voice and detects texts and gives indication output to the hearing impaired people.
Audioception plays a major role in communication with society. The idea of the project is to create a single device to aid people with various levels of hearing complexities. The user will be aware with the help of audio input and the signals will be passed to the vibrators to identify the direction of the audio input. For further communication, we also added speech-to-text libraries which aid them by converting audio into captions displayed on the led screen attached. Sign language can also be recognized by our device using a camera which helps the deaf to understand even when they are not aware of the same. We also have added features such as phone call indication and text-to-speech using various AI modules.
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A small , handheld device designed to aid the visually impaired people using AI techniques.
Our device helps the blind and visually impaired to know about the surrounding using AI techniques. It detects the objects or obstacles in the direction that user pointing with the help of camera.The captured image is analyzed and using Deep Learning models we can easily classify the same and the output is told to user with gTTS module which helps to convert text to speech . The converted audio is told to the user with the help of speaker or headphone conneted to the device.