Naman Bhayani
ML EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Staff MLE - Twilio | ex - AngelOne, Jupiter Money
I'm a Machine Learning Engineer with 8+ years of experience building scalable ML systems, with a focus on Search Ranking, Learning to Rank (LTR), NLP, Data Mining and real-time ML pipelines. At AngelOne, I’ve built a Search Feature Store from scratch, created dashboards for Silver & Gold layers, and worked closely with CXOs and the Search tech team to improve ranking through contextual user behavior models. My previous roles at Jupiter Money and Reliance Jio gave me hands-on experience in productionizing ML models, orchestrating workflows using Airflow, and collaborating across Data Science and Engineering teams. I’m deeply passionate about building systems that scale, mentor junior team members, and stay up-to-date with recent advancements in LLMs, retrieval-augmented generation (RAG), and ranking algorithms. Always open to new challenges in ML Infra, Search & Recommendations, or Applied AI roles that push the boundaries of what’s possible.
Birla Institute of Technology and Science, Pilani
Bachelor’s Degree, Electrical and Electronics Engineering
January 1, 2013 – January 1, 2017
Twilio
Staff Machine Learning Engineer
November 1, 2025 – Present
Remote
Angel One
MLE III
June 1, 2023 – November 1, 2025
Remote
Jupiter
Research Engineer II
August 1, 2021 – July 1, 2023
Bengaluru, Karnataka, India
Scaler Academy
Mentor
April 1, 2019 – July 1, 2021
Jio
Deep Learning Engineer
March 1, 2018 – August 1, 2021
Mumbai Area, India
The Hi-Tech Robotic Systemz Ltd
Software Engineer
June 1, 2017 – March 1, 2018
Gurgaon, India
Texas Instruments
Software Engineer
July 1, 2016 – December 1, 2016
Bengaluru Area, India
LLM Engineering: Master AI, Large Language Models & Agents
Udemy
June 24, 2026 – Present
1 - Deep Learning Specialization
Coursera
June 24, 2026 – Present
2 - Natural Language Processing Specialization
Coursera
June 24, 2026 – Present
3 - Generative Adversarial Networks (GANs) Specialization
Coursera
June 24, 2026 – Present
Multiplatform Mobile App Development with React Native
Coursera
June 24, 2026 – Present
Server-side Development with NodeJS, Express and MongoDB
Coursera
June 24, 2026 – Present
MongoDB for Python Developers
MongoDB
June 24, 2026 – Present
Front-End Web Development with React
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has worked in diverse environments, from large corporations (Jio, Twilio) to startups (Jupiter, Angel One), indicating adaptability. Their experience spans various domains including FinTech, media, and surveillance AI, suggesting a broad interest and ability to adapt to different industry challenges. The mentorship role at Scaler Academy also points to a willingness to contribute to knowledge sharing and team growth. However, the lack of explicit project diversity outside of ML/AI applications might limit the breadth of cultural fit beyond a pure technical ML role.
Soft Skills & Operational Fit
The candidate's resume highlights leadership and mentorship roles (Jio, Scaler Academy), suggesting strong communication and team collaboration skills. Experience in spearheading initiatives and receiving awards (Jupiter) indicates proactivity and problem-solving abilities. The detailed descriptions of complex projects imply strong analytical and operational capabilities.