Headline

AI/ML Engineering Lead @ Efficentrix | Founding Team | Ex Backend AI Engineer Intern @ FlyRank AI | Software Developer • AI/ML | BITS Pilani ’27

About

I'm a Computer Science undergraduate at BITS Pilani and a Software Developer focused on building reliable, scalable, and user-focused software. My primary development focus is modern web development, with experience across the MERN and PERN ecosystems. I work with React, Next.js, JavaScript, TypeScript, Node.js, Express.js, PostgreSQL, MongoDB, and REST APIs. I'm particularly interested in backend development, API design, database architecture, system design, and building end-to-end applications that solve real-world problems. I'm also interested in AI/ML and AI-powered applications, with experience working with Python, PyTorch, and Scikit-learn. I continuously work on strengthening my foundations in data structures, algorithms, software engineering, and scalable system design while building practical projects and exploring new technologies. I'm interested in Software Development, Backend Engineering, and AI-focused software opportunities where I can contribute to meaningful products and grow as an engineer.

Location

Bengaluru

AI stack

antigravity

deepmind

deepseek

hugging face

ollama

openai

Work experience

AI/ML Engineering Lead at Efficentrix, Aug 2026 - Present · 2 mos

Backend AI Engineer at FlyRank AI, Jul 2026 - Sep 2026 · 3 mos, Remote, • Selected for FlyRank AI’s Backend AI Engineering internship track, focused on building reliable server-side AI systems with an emphasis on retrieval, structured outputs, and evaluation. • Design API contracts covering endpoints, request/response schemas, status states, validation, and error handling for AI-backed backend services. • Build retrieval- and grounding-based AI workflows that incorporate source context and validate whether generated responses are supported by retrieved evidence. • Develop a capstone project involving RAG, structured-output pipelines, or agent/tool-calling workflows, supported by evaluation rubrics, failure-mode documentation, and audit logging.

AI Intern at All India Council for Technical Education (AICTE), Jan 2024 - Mar 2024 · 3 mos, Remote, • Worked on an AI-powered Healthcare Assistant Chatbot project. • Fine-tuned Hugging Face models using healthcare and medical-related datasets. • Applied NLP and machine learning techniques to a domain-specific AI application.

Education

Bachelor's Degree, Computer Science, Birla Institute of Technology and Science, Pilani

Public links

github: https://github.com/mdkamranalam

leetcode: https://leetcode.com/mdkamranalam

kamran-phi.vercel.app: https://kamran-phi.vercel.app/