benjamin debbarma
@benjamindebbarma
M.Tech AI student and ML engineer specializing in NLP, computer vision, and scalable AI systems.
What I'm looking for
I am an M.Tech graduate in Artificial Intelligence at the Indian Institute of Science, Bengaluru, with hands-on experience building production-focused ML solutions across NLP, computer vision, and time-series forecasting.
At Nokia Networks I developed a BERT-based NLP pipeline to auto-map DFSEC requirements achieving 92% accuracy, and at Spartificial I built forecasting and satellite imagery segmentation models, demonstrating strong applied research to product translation.
My projects include multimodal semantic search, RAG-based recommender systems, DCGAN image synthesis, embedded bird-call recognition, and curated datasets for crack segmentation—showing a blend of research, deployment, and edge-AI optimization skills.
Prior to my AI-focused roles, I engineered and maintained high-capacity DWDM & MPLS-TP core networks at a national telecom operator, ensuring resilient infrastructure and large-scale connectivity across multiple states.
Experience
Work history, roles, and key accomplishments
Built an NLP pipeline using BERT to auto-map Nokia’s DFSEC requirements, achieving 92% accuracy and delivering benchmarked model insights to cross-functional teams for compliance automation.
Core Network Transmission Engineer
Bharat Sanchar Nigam Ltd.
Feb 2018 - Jul 2023 (5 years 5 months)
Engineered and maintained 300 Gbps DWDM and MPLS-TP networks and led 400 km OFC maintenance, ensuring high-uptime connectivity linking seven Northeastern states with the rest of India.
Machine Learning Researcher
Spartificial Innovations Pvt. Ltd.
Jul 2022 - Jan 2023 (6 months)
Developed time-series forecasting models for monthly temperature prediction across five Indian cities and applied classification methods for satellite land-cover segmentation to improve environmental analytics.
Education
Degrees, certifications, and relevant coursework
Indian Institute of Science
Master of Technology, Artificial Intelligence
2023 -
Grade: 7.6/10
Activities and societies: Research on crack segmentation; relevant coursework in Machine Learning, Deep Learning for Computer Vision, NLP, Deep Generative Models, Edge AI.
Pursuing M.Tech in Artificial Intelligence with coursework and research in deep learning, NLP, and computer vision; CGPA 7.6/10.
Availability
Location
Authorized to work in
Job categories
Skills
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