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Applied AI and Machine Learning Engineer specializing in LLMs, multimodal AI, retrieval systems, and production AI platforms. Experienced in taking AI capabilities from model research and data preparation through evaluation, inference optimization, backend integration, and production deployment. Built and deployed LLM/VLM, OCR, semantic search, speech, and RAG systems supporting real users across multiple hospital departments, with hands-on experience in model fine-tuning, distributed training, GPU serving, orchestration, and AI infrastructure. Experienced in translating ambiguous requirements into end-to-end AI systems and collaborating with engineering, infrastructure, data, and business stakeholders to move prototypes into operational use.

14+ years of fintech and BFSI experience, including 5+ years in product leadership across credit decisioning, digital lending, fraud, identity and KYC platforms. Built and scaled multi-tenant SaaS products serving India's leading banks, NBFCs and fintechs, with $13M+ ARR across the portfolio. Experience spans product strategy, portfolio and P&L ownership, enterprise customer engagement, platform localization, ecosystem partnerships and commercialization. Combines product leadership with prior frontline experience in retail lending and enterprise sales, bringing a strong understanding of how financial institutions evaluate, buy, implement and adopt technology. Currently extending this domain expertise into applied GenAI for credit and risk workflows, alongside consulting engagements across fintech and BFSI. MBA from IIM Calcutta.

R&D engineer specialized in power electronics and inductive components, with experience leading the design and development of On Board Chargers, filters, and HV-LV DCDC converters. Skilled in managing the full product lifecycle— from concept and material selection to mass production—while ensuring compliance with industrial and automotive standards. My interdisciplinary background in mechanical engineering and MEMS-based biosensor research enhances my ability to approach challenges with innovation and precision.

15+ years across infrastructure systems, technical support, software engineering, network engineering and client-facing operations in various industries. Proactively integrating AI into automation and operational processes. Multi-lingual. Comfortable with on-calls, 2nd/3rd/weekend shifts and supporting globally distributed teams and customers in 24/7 environments across multiple time zones.

삼성전자에서 1억 명 이상이 쓰는 키보드를 5년간 개발하고, 미국 SaaS 기업 Procore에서 Kotlin, Compose, Clean Architecture 기반으로 기능을 개발해 온 8년 차 Android 개발자입니다. HCI 석사 배경의 사용자 중심 설계 역량과 인도·이집트 등 해외 엔지니어, Product, UX와의 영어 협업 경험을 바탕으로, 사용자에게 가치를 주는 기능을 만들어 왔습니다.

Experienced Engineer with 7 years of technical R&D in Steel manufacturing companies and lab leadership experience. Proven track record as a Lab Supervisor managing daily operations, safety audits, and equipment calibration. Skilled in using data tools like DOE and ANOVA to improve product quality. Expert in root cause analysis and failure investigation to solve technical problems, and chemistry optimization to achieve 5% to 15% cost savings. Excellent at managing projects and working with teams to meet customer requirements. Based in South Korea and available to get faster work permit on my F3 visa to start immediately.

I'm a Technical Lead and software engineer with over 10 years of experience designing, building, and supporting production software systems. My primary background is in backend development with C# and . NET, with particular experience in distributed systems, event-driven architectures, APIs, data persistence, and highly available services. More recently, my work has expanded into LLMs, agentic systems, and AI-assisted development workflows.

AI-focused researcher and software engineer with 2 years of research experience and 3 years of professional experience as a MERN Stack Developer. My research experience focuses on Artificial Intelligence, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), knowledge retrieval, Knowledge Graphs, and intelligent information systems. I have hands-on experience developing and evaluating AI-based solutions using Python, PyTorch, Hugging Face, LangChain, vector databases, embedding models, and LLM-based architectures. My software engineering background includes 3 years of experience developing scalable web applications using MongoDB, Express.js, React.js, and Node.js, giving me a strong foundation in backend development, APIs, databases, and end-to-end system development. I enjoy bridging research and practical software engineering to develop reliable, scalable, and deployable AI applications.

Senior Front-End Developer (React/TS, 5+ yrs). Led the end-to-end front-end refactoring of TheHive, a critical incident response platform trusted by global leaders (Meta, NVIDIA, Riot Games, AMD). Strong background in cybersecurity and SecOps, specializing in architecture, legacy refactoring, and high-stakes sensitive environments. Pragmatic and business-driven.

Software Developer with 4 years of experience in backend development, software testing, and database management. Skilled in Java, Kotlin, Spring Boot, REST APIs, SQL, PostgreSQL, and MySQL, with hands-on experience in functional testing and defect analysis. Currently based in South Korea and seeking opportunities in backend development, QA/testing, or AI-related roles.