
Preetam Baruah
Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von Preetam Baruah
- 2 Jahre und 7 Monate, Mai 2022 - Nov. 2024
Senior Software Engineer
Lucida Technologies
Senior-Lead SDE (Team Size: 6). * Tiretest.Ai / Client Project / APR – AUG 2024 * DMLE (Digital Machine Learning Environment) / Client - NielsenIQ / JUL 2022 – FEB 2023 - Tech Stack : • Python 3.12, REST API (Django, Flask), SQL DB (MySQL, PostgreSQL), Cloud (AWS - EC2, RDS, S3), LLM (Google Gemini, OpenAI Whisper), Cache & Message Queue (Redis), Docker, Microservices, Monitoring (Grafana - Custom Dashboards), Logging-Tracing (Grafana - Loki), CI/CD (Jenkins), VCS (Git), Bitbucket, Scrum, Computer Vision
* Client : NielsenIQ - Parent : Lucida Technologies - Project : DMLE (Digital Machine Learning Environment) - Duration : 8 Months (JUL 2022 – FEB 2023) - Designation : Contract Software Engineer - Tech Stack : • Python 3.10, REST API (Flask), SQL DB (PostgreSQL), Cloud (Azure), Cache & Message Queue (Redis), Docker, Kubernetes (AKS Pods), Microservices, Distributed Systems, Monitoring (Grafana - Custom Dashboards), Logging-Tracing (Grafana - Loki), CI/CD (Jenkins), VCS (Git), Bitbucket, Scrum
- 1 Jahr und 1 Monat, Apr. 2021 - Apr. 2022
Software Engineer
Freelancer (Fintech)
* Job Type : Freelance - Industry : Fintech - Project : Data & Table Extraction from PDF documents using AI - Designation : AI Software Engineer -- I joined the Fintech industry where I worked remotely for around 1 year as a freelance Software Engineer. I worked in Computer Vision & NLP where I used to build APIs to extract text data from documents using OCR/HTR & frameworks like "Camelot" & "Tabula". This traditional approach has become obsolete now as one can do it more easily & efficiently using Gen AI.
- 1 Jahr und 1 Monat, Okt. 2020 - Okt. 2021
'AI-ML' Online Course
'Learnbay' Software Training Institute
* 'AI-ML' Online Course / 'Learnbay' Software Training Institute, Bangalore, India / OCT 2020 – OCT 2021 - Industry : AI/ML - Designation : Student -- Computer Vision -- NLP -- Deep Learning - Neural Networks
* Client : Radware - Parent : ACL Digital - Project : AppWall (Radware's Web Application Firewall) - Project Duration : 1 Year 2 Months (Entire tenure with "ACL Digital")
- 1 Jahr und 2 Monate, März 2019 - Apr. 2020
Software Engineer
ACL Digital
* Client : Radware - Parent : ACL Digital - Project : AppWall (Radware's Web Application Firewall) - Project Duration : 1 Year 2 Months (Entire tenure with "ACL Digital")
* Project : Barracuda's WAF (Web Application Firewall), Barracuda's ESG (Email Security Gateway)
Ausbildung von Preetam Baruah
- 3 Jahre und 1 Monat, Aug. 2010 - Aug. 2013
Computer Science
Dibrugarh University
Sprachen
Englisch
Fließend
Deutsch
Grundlagen
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