We can organize an interview with Aldin or any of our 25,000 available candidates within 48 hours. How would you like to proceed?
Schedule Interview NowMy name is FAVAS M. and I have over 5 years of experience in the tech industry. I specialize in the following technologies: Natural Language Processing, Data Science, Data Analysis, Artificial Intelligence, Python, etc.. I hold a degree in Master of Technology (MTech), Bachelor of Technology (BTech). Some of the notable projects I've worked on include: AI tool development, Data Matching, Real-time Voice extraction, Invoice Extraction. I am based in Chennai, India. I've successfully completed 4 projects while developing at Softaims.
I specialize in architecting and developing scalable, distributed systems that handle high demands and complex information flows. My focus is on building fault-tolerant infrastructure using modern cloud practices and modular patterns. I excel at diagnosing and resolving intricate concurrency and scaling issues across large platforms.
Collaboration is central to my success; I enjoy working with fellow technical experts and product managers to define clear technical roadmaps. This structured approach allows the team at Softaims to consistently deliver high-availability solutions that can easily adapt to exponential growth.
I maintain a proactive approach to security and performance, treating them as integral components of the design process, not as afterthoughts. My ultimate goal is to build the foundational technology that powers client success and innovation.
Main technologies
5 years
3 Years
1 Year
4 Years
Potentially possible
Tiger Analytics
To develop an AI based invoice extraction tool with an option for verification
- Match product data between two files using advanced AI techniques. - Combine LSH for efficient similarity search and fuzzy matching for handling variations. - Integrate Sentence Transformers for se
- Enable real-time voice-to-text conversion for various applications. - Use OpenAI's Whisper model for accurate multilingual transcription. - Handle noisy environments with advanced audio processing.
- Automate invoice data extraction to reduce manual effort. - Leverage OCR for text detection and LLM for field classification. - Support multi-format, multi-language invoices with contextual accurac
Master of Technology (MTech) in Robotics
2018-01-01-2020-01-01
Bachelor of Technology (BTech) in Mechanical engineering
2015-01-01-2020-01-01