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AI Research Engineer with less than a year in Machine Learning & Generative AI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated and aspiring M.Sc. graduate in Big Data Biology with hands-on expertise in machine learning, deep learning, and generative AI pipelines seeking an AI/ML Engineer or Data Scientist role. Eager to leverage proficiency in PyTorch, LangChain, RAG systems, and cloud platforms like AWS to drive innovative data-driven solutions in tech and biomedical industries.
Institute of Bioinformatics and Applied Biotechnology (IBAB)
Master of Science (M.Sc.) · Big Data Biology
August 1, 2024 – Present
Amity University, Kolkata
B.Sc. (Hons) · Biotechnology
August 1, 2021 – June 30, 2024
Deep learning approaches to study genomics of social interaction in Autism
January 1, 2026 – Present
Modeling the genomics of social interaction using machine and deep learning to predict individual level outcomes from genomic data (Whole Exome Sequencing Data).
View ProjectGen-AI Powered Drug Repurposing Literature Agent
December 1, 2025 – Present
Developing an agentic pipeline that mines PubMed/DrugBank, constructs a drug-gene-disease knowledge graph, and uses GenAI reasoning to identify top 5 drug repurposing candidates.
View ProjectMachine Learning-Driven Biomarker Gene Prediction for Autism Spectrum Disorder
March 1, 2025 – July 1, 2025
Developed ML model for ASD biomarker prediction using microarray data (GEO), identified differentially expressed genes. Applied SHAP to interpret model outputs and highlight key biomarker genes.
View ProjectCareer Essentials in Generative AI
Microsoft and LinkedIn
June 1, 2025 – Present
Power BI for Beginners
Simplilearn SkillUP
June 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in applying AI/ML to biomedical research, aligning well with roles that value innovation and impact in specialized domains. The breadth of tools and techniques used across projects suggests adaptability and a continuous learning mindset. The focus on Generative AI and Deep Learning aligns with cutting-edge research environments.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex, multi-faceted problems, suggesting strong problem-solving skills. Participation in hackathons implies a collaborative and results-oriented mindset. However, without direct work experience, operational fit and soft skills are primarily inferred from academic projects and certifications.