Anurag Shrivastava — Software Engineer
I'm a multi-domain engineer with extensive experience in building intelligent, scalable systems across GenAI, full stack, embedded, and cloud-native environments. My journey spans fintech, automation, and DevOps—where I’ve architected solutions using Python, C++, SQL, MongoDB, PostgreSQL, Azure, Kubernetes, Helm, and Bicep. Recently, I’ve pivoted into GenAI and ML Ops, integrating LangChain, RAG pipelines, Hugging Face, and OpenAI APIs to power assistants, trading engines, and real-time decision systems. But I don’t just specialize—I synthesize. Whether it’s deploying infra-as-code, optimizing backend performance, or designing AI workflows, I bring a systems-level mindset and a bias for execution. I thrive at the intersection of engineering and strategy—curating technical narratives, optimizing recruiter visibility across LinkedIn, Naukri, Indeed, Wellfound, Hirist, and Cutshort, and showcasing real-world impact through GitHub and visual storytelling. My goal? To build future-proof solutions that scale across domains, industries, and technologies—without ever being boxed into one.
Stackforce AI infers this person is a multi-domain engineer specializing in scalable systems across GenAI, fintech, and cloud-native environments.
Experience: 7 yrs 1 mo
Career Highlights
- Expert in building intelligent, scalable systems across multiple domains.
- Proficient in GenAI and ML Ops with hands-on experience in LangChain.
- Strong background in fintech, automation, and DevOps solutions.
Work Experience
NeoSOFT
Software Engineer (2 yrs 11 mos)
Rose International
Software Engineer (9 mos)
Anji Dyeing
Software Engineer (3 yrs 5 mos)
Education
Master of Computer Applications - MCA at Rajiv Gandhi Prodyogiki Vishwavidyalaya
Applied Data Science at Hitachi Vantara
Bachelor of computer application at MCNUJC
Bachelor of Computer Application (BCA) at Advance Course of Computer Application (ACCA)
at Kendriya Vidyalaya