Subramanya Naik profile photo 1 on Tal

Subramanya Naik

AI Engineer @Sydon.ai | No Code & Low Code AI Tools, Gen AI, Agentic AI & AI Agents Expert | Learning & Building

Bengaluru

1+ year of work experience

Sydon.ai
Jul 20251 yr 4 mosPresent

Bengaluru

EQ app
Apr 20252 mosMay 2025

San Francisco, CA

At EQ App, an AI-driven staffing and recruitment platform, I worked directly with the founders to design, develop, and deploy agentic AI applications that streamlined candidate screening, engagement, and talent matching. Leveraging platforms like Vercel, Replit, Bolt, n8n, and Make, I built and shipped production-ready AI agents that automated key recruitment workflows, significantly reducing manual effort and boosting efficiency. My contributions helped the team scale faster by integrating LLM-powered agents into the hiring pipeline, showcasing my ability to deliver high-impact solutions in fast-paced startup environments within the HRTech domain.
CodeSizzler India | UAE - Microsoft Certified Solution Partner
Feb 20251 moFeb 2025

Remote

At CodeSizzler, I collaborated closely with a senior engineer to build a healthcare-focused AI agent, integrating Azure ML for intelligent decision-making and Salesforce AgentForce for seamless patient engagement and lead management. My role involved developing and deploying the conversational agent to assist in healthcare inquiries, appointment scheduling, and patient data processing. This project not only sharpened my skills in ML deployment and cloud integration but also demonstrated my ability to contribute to real-world AI solutions in the HealthTech domain with a focus on reliability, privacy, and user-centric design.
Unified Mentor Private Limited
Aug 20244 mosNov 2024

Remote

At Unified Mentor, I worked as a Data Science Intern where I focused on end-to-end data analysis, machine learning model development, and insights generation for student performance and engagement data. I built predictive models to identify learning patterns, performed data cleaning and visualization using Python, Pandas, and Matplotlib, and contributed to dashboards that helped mentors personalize guidance for learners. This experience strengthened my foundation in supervised learning, feature engineering, and deploying ML models, while allowing me to work closely with domain experts to solve impactful problems in the EdTech space.

Subramanya’s AI Stack

claude code
claude code
hugging face
hugging face
mcp
mcp
openai
openai
CrewAI
CrewAI
OpenAI Agents SDK
OpenAI Agents SDK

Education

Dr. Ambedkar Institute of Technology

Bachelor of Engineering - BE, Computer Science

Dr. Ambedkar Institute of Technology

20214 yrs2025

Computer Science

siddhartha college bhatkal

20192 yrs2021

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Headline

AI Engineer @Sydon.ai | No Code & Low Code AI Tools, Gen AI, Agentic AI & AI Agents Expert | Learning & Building

About

As a Computer Science graduate with a strong foundation in AI, Machine Learning, and Data Science, I’ve always been drawn to building intelligent systems that solve real-world problems. During my academic journey, I earned top scores in advanced programming, statistics, and algorithm design, and actively participated in national-level hackathons and startup pitching competitions. I’m passionate about learning, mentoring, and using tech to drive impact. With over 2 years of hands-on experience in AI, NLP, and full-stack development, I’ve contributed to projects ranging from disease detection using deep learning to live cryptocurrency analytics dashboards. I’ve interned at early-stage startups and led tech teams where I worked on backend systems using FastAPI, PostgreSQL, and MongoDB, as well as integrated LLMs into chatbots. I’m a critical thinker who thrives in fast-paced environments, and my work has consistently improved system efficiency and user experience. My achievements include completing JPMorgan’s Forage virtual internship, building agentic AI tools, and earning Salesforce’s Ranger certification. Looking ahead, I aim to join a high-growth AI team where I can build production-grade tools, fine-tune LLMs for real-world use cases, and eventually lead AI innovation at scale. I’m especially excited about opportunities in fintech, healthtech, and AI-first product startups, and I’m open to collaborations that push the boundaries of what AI can achieve for people and businesses.

Location

Bengaluru

AI stack

claude code

hugging face

mcp

openai

CrewAI

OpenAI Agents SDK

Work experience

AI Engineer at Sydon.ai, Jul 2025 - Present · 1 yr 4 mos, Bengaluru

Agentic AI Engineer at EQ app, Apr 2025 - May 2025 · 2 mos, San Francisco, CA, At EQ App, an AI-driven staffing and recruitment platform, I worked directly with the founders to design, develop, and deploy agentic AI applications that streamlined candidate screening, engagement, and talent matching. Leveraging platforms like Vercel, Replit, Bolt, n8n, and Make, I built and shipped production-ready AI agents that automated key recruitment workflows, significantly reducing manual effort and boosting efficiency. My contributions helped the team scale faster by integrating LLM-powered agents into the hiring pipeline, showcasing my ability to deliver high-impact solutions in fast-paced startup environments within the HRTech domain.

AI Intern at CodeSizzler India | UAE - Microsoft Certified Solution Partner, Feb 2025 - Feb 2025 · 1 mo, Remote, At CodeSizzler, I collaborated closely with a senior engineer to build a healthcare-focused AI agent, integrating Azure ML for intelligent decision-making and Salesforce AgentForce for seamless patient engagement and lead management. My role involved developing and deploying the conversational agent to assist in healthcare inquiries, appointment scheduling, and patient data processing. This project not only sharpened my skills in ML deployment and cloud integration but also demonstrated my ability to contribute to real-world AI solutions in the HealthTech domain with a focus on reliability, privacy, and user-centric design.

Data Science Intern at Unified Mentor Private Limited, Aug 2024 - Nov 2024 · 4 mos, Remote, At Unified Mentor, I worked as a Data Science Intern where I focused on end-to-end data analysis, machine learning model development, and insights generation for student performance and engagement data. I built predictive models to identify learning patterns, performed data cleaning and visualization using Python, Pandas, and Matplotlib, and contributed to dashboards that helped mentors personalize guidance for learners. This experience strengthened my foundation in supervised learning, feature engineering, and deploying ML models, while allowing me to work closely with domain experts to solve impactful problems in the EdTech space.

Education

Bachelor of Engineering - BE, Computer Science, Dr. Ambedkar Institute of Technology

Computer Science, siddhartha college bhatkal

Public links

github: https://github.com/Expressduro