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Generative AI Engineer with 1+ years in LLM-powered applications & RAG systems.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Generative AI Engineer and Data Scientist with 2 years of experience building LLM-powered applications, RAG systems, AI chatbots, and enterprise AI solutions. Skilled in Python, Azure OpenAI, LangChain, LlamaIndex, FastAPI, SQL, and Vector Databases. Experienced in developing production-grade AI applications, AI agents, document intelligence solutions, and automation systems across banking, manufacturing, and ERP domains.
IIIT BHAGALPUR
B.Tech · Computer Science And Engineering
September 1, 2020 – April 1, 2024
QX Impact
Generative AI Engineer | Data Scientist
September 1, 2025 – Present
India
Care Analytics and Advisory Private Limited
Generative AI Engineer | Data Scientist
August 1, 2024 – August 1, 2025
India
Microsoft Learn Badges (Azure Document Intelligence, Multimodal AI Content Understanding, Generative AI Vision-enabled Applications, AI Agent Development with Microsoft Foundry, Speech, Translation NLP / LLMs)
Microsoft Learn
June 1, 2026 – Present
NATIONWIDE QUIZ ALLROUNDER
NIE Mysuru
June 1, 2026 – Present
Data Analytics Consulting Virtual Internship
KPMG
June 1, 2026 – Present
Generative AI Fundamentals
DataBricks
June 1, 2026 – Present
Python Developer Associate Certificate
PDAC-24
June 1, 2026 – Present
DataScience Internship program
1stop.in
June 1, 2026 – Present
HackerRank: Proficient
HackerRank
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience spans multiple domains (ERP, banking, finance), showcasing adaptability and a broad interest in applying AI solutions. The diverse project portfolio, including chatbots, data validation, and risk modeling, suggests a versatile individual who can contribute to various initiatives. The certifications and workshop participation indicate a commitment to continuous learning and staying updated with industry trends, which aligns well with a dynamic, innovation-driven culture.
Soft Skills & Operational Fit
The candidate's resume highlights practical application of AI/ML in real-world scenarios, indicating a results-oriented approach. The descriptions of reducing manual effort and improving accuracy suggest an operational fit for roles requiring efficiency and impact. However, without specific behavioral assessment data, it's difficult to fully assess soft skills like teamwork, adaptability, or problem-solving under pressure.