Empowering Developers @ Masai | Community Manager | Python, MERN, GenAI | Tech Innovator & Automation Enthusiast | SCEM ’23

Bengaluru, Karnataka, India

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On-site

Remote

Hybrid

Bengaluru, Karnataka, India







Bachelor of Engineering - BE, Information Science
Sahyadri College of Engineering & Management

High School, Physics, Chemistry, Mathematics and Computer Science
kendriya vidyalaya
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I build AI-powered tools and grow developer communities, sometimes both at once. For 2+ years at MResult, I worked at the intersection of Python, LLMs, and real product impact. I shipped an automation pipeline that cut a 12-hour workflow down to 15 minutes. I built an LLM Store on AWS Bedrock and LangChain that combined a chatbot, text-to-SQL engine, summarizer, and semantic search, used by 50+ people daily. Most of my best work lives in private repos, but the problems were real. Outside of work, I've spent years building communities. I led SOSC as President with 30+ members, 10+ events, and 1,000+ participants. I've organized hackathons, mentored high school students through a global competition (90% completion rate), and most recently joined Masai School as Community Manager, running a developer learner community across Discord and Slack. I'm drawn to the space where AI meets practical product thinking. Where the question isn't "what can this model do" but "what does this person actually need." Always up for a conversation about AI products, developer communities, or anything in between. 📧 vishnunvnaik@gmail.com
Karnataka
antigravity
claude code
claude
hugging face
langchain
langgraph
Developer Relations Manager at Masai, Nov 2025 - Present · 1 y, Bengaluru, Karnataka, India, Building and shipping a centralized community platform integrated directly into the LMS, replacing Discord/Slack with a unified system for announcements, leaderboards, and event management. Key work: -Designed and developed a full-stack community platform embedded within the LMS, reducing dependency on external tools like Discord and Slack -Automated community workflows and engagement pipelines, improving learner onboarding and retention -Organized and executed 4 hackathons (2 online, 2 offline) — handled end-to-end technical planning, participant experience, and platform coordination -Collaborated with product and engineering teams to define requirements, iterate on features, and ship improvements -Facilitated product and business case study sessions bridging technical skills with real-world problem solving
Software Development Engineer at MResult, Apr 2025 - Nov 2025 · 8 mos, On-site, Led AI-driven development initiatives using AWS Bedrock and LangChain, building production-grade LLM applications for internal and client use. Key work: - Built the LLM Store, a multi-feature app combining a chatbot, text-to-SQL engine, document summarizer, and semantic search, serving 50+ end users - Designed modular LLM architecture allowing independent feature integration, significantly reducing future development effort - Led PoC projects using AWS Bedrock with Streamlit and Gradio interfaces for AI-driven interaction - Designed and delivered 3+ Python-powered digital solutions improving workflow efficiency across teams
Associate at MResult, Jan 2024 - Mar 2025 · 1 yr 3 mos, On-site, Focused on data engineering and automation, building Python tools to streamline clinical and operational workflows. Key work: - Built the Snapshot Data Comparison tool, automating large-scale clinical dataset comparison and reducing processing time by 98% (from 12 hours to 15 minutes) - Engineered edge-case handling and multi-source reconciliation logic, improving data accuracy and reliability - Built the eTMF Scraper, a configurable Python tool for dynamic record extraction based on user-defined parameters - Designed an end-to-end interactive UI prototype in Figma to map user journeys and guide front-end development
Founding Partner at The Dexes Company, Sep 2023 - Aug 2025 · 2 yrs, Remote
Trainee at MResult, Jul 2023 - Dec 2023 · 6 mos, Hybrid, Joined as a fresher and quickly ramped up on internal tools, Python development workflows, and domain knowledge in clinical data systems. - Learned and contributed to Python-based development projects in a fast-paced hybrid environment - Got hands-on with data workflows, internal tooling, and cross-team collaboration practices - Built a foundation in scripting, automation, and structured problem solving that carried through later roles
Tech Intern at Masai, May 2023 - Jun 2023 · 2 mos, Bengaluru, Karnataka, India
Bachelor of Engineering - BE, Information Science, Sahyadri College of Engineering & Management
High School, Physics, Chemistry, Mathematics and Computer Science, kendriya vidyalaya
github: https://github.com/carbonxx