Sabyasachi Samantaray

Software Engineer

Yeongtong-gu, Gyeonggi, South Korea2 yrs 6 mos experience

AI ML PractitionerAI Enabled

Key Highlights

Expert in Natural Language Processing and Bioinformatics.
Presented research at multiple international conferences.
Developed innovative workflows for gene expression analysis.

Stackforce AI infers this person is a Bioinformatics and AI/ML specialist with a focus on healthcare applications.

Contact

Skills

Core Skills

Middleware EngineeringNatural Language ProcessingBioinformaticsSoftware EngineeringAi/mlMedical Imaging

Other Skills

BenchmarkingBiomarker Panel SelectionBreast CancerBulk Data CollectionComputer Aided DiagnosisCross Lingual TransferData AnalysisData CleaningData CleansingDeep LearningDrug-Target InteractionsFactuality TransferFeature FusionFeature ImportancesFeature Selection

Experience

Samsung electronics

Middleware Engineer

Sep 2025 – Present · 6 mos · Suwon, South Korea · On-site

Network Framework Engineer for On-Device AI support

Network FrameworkOn-Device AIMiddleware Engineering

Indian institute of technology, bombay

5 roles

Teaching Assistant

Jan 2025 – May 2025 · 4 mos · On-site

SC646 (Distributed Optimisation) - Prof. Mayank Baranwal

Teaching Assistant

Aug 2024 – Nov 2024 · 3 mos · On-site

CS725 (Foundations of Machine Learning) - Prof. Preethi Jyothi

Teaching Assistant

Jan 2024 – May 2024 · 4 mos · On-site

CS108 (Software Systems Lab) - Prof. Kameshwari Chebrolu

Student Researcher, CSALT Lab

Dec 2023 – Jun 2025 · 1 yr 6 mos · On-site

LLMs . Multilingual NLP . Cross Lingual Transfer . Indic Languages . Instruction FT . Low Resource Languages . Factuality Transfer . Knowledge Bases . Benchmarking .
>> Poster at MRL Workshop, EMNLP 2025 (Cross-lingual Transfer Dynamics in BLOOMZ: Insights into Multilingual Generalization)

LLMsMultilingual NLPCross Lingual TransferIndic LanguagesInstruction FTLow Resource Languages+4

Student Researcher, Proteomics Lab

Jun 2023 – Jun 2025 · 2 yrs · On-site

Machine Learning . Feature Importances . Interpretable AI . Drug-Target Interactions . Multi-Omics . Robust RNA Sequencing . Gene Expression Profiles . Parkinson's Disease . Biomarker Panel Selection .
>> Poster Presentation at APT-2024, Mumbai, India (Development of a Generalizable Data Analysis Workflow for Visualisation of Differentially Expressed Genes extracted from RNA Seq Data)
>> Poster Presentation at HUPO-2024, Dresden, Germany (BDDF: Advancing Prediction of Druggable Proteins)
>> Work recognized with Best Paper at Inter-IIT Tech Meet 2024, Techfest
>> Manuscript on tool DrugProtAI accepted to Briefings in Bioinformatics

Machine LearningFeature ImportancesInterpretable AIDrug-Target InteractionsMulti-OmicsRobust RNA Sequencing+4

Samsung electronics

Software Engineer Intern

May 2024 – Jul 2024 · 2 mos · Suwon, South Korea · On-site

Robot Vacuum . On-device AI . Personalization . Transfer Learning . Model Optimization . Online Learning . TFLite

Robot VacuumOn-device AIPersonalizationTransfer LearningModel OptimizationOnline Learning+2

Samespace

AI/ ML Intern

Dec 2023 – Dec 2023 · 0 mo · Mumbai, Maharashtra, India · Remote

Text to Speech . Bulk Data Collection . Data Cleaning . Fine Tuning . Benchmarking . Scalability Research

Text to SpeechBulk Data CollectionData CleaningFine TuningBenchmarkingScalability Research+1

Technische universität braunschweig

Summer Research Intern

May 2023 – Jul 2023 · 2 mos · Brunswick, Lower Saxony, Germany · On-site

Breast Cancer . Computer Aided Diagnosis . Thermal Infrared Images . Data Cleansing . Radiomics . Deep Learning . Feature Selection . Feature Fusion . Transfer Learning . Fine Tuning
>> Work accepted at SPIE Medical Imaging, 2024 : Breast cancer diagnostics using angular view infrared images

Breast CancerComputer Aided DiagnosisThermal Infrared ImagesData CleansingRadiomicsDeep Learning+5