Hemlata Saraf

Product Manager @ Razorpay

About

Engineer turned consultant turned product manager. Now building products that help founders start businesses in India—faster and simpler. At Razorpay, I lead Rize—India's fully digital company incorporation platform. Before this, I was Razorpay's first full-stack AI builder, working directly with the CPO to transform how product managers work through AI tooling. Earlier, I spent 3 years at Strategy& (PwC) helping Fortune 500 companies solve growth and CRM problems across US, Canada, and Mexico. Engineer by training (B.Tech CS), MBA from MDI Gurgaon. I can write code, build business cases, and ship products—sometimes all in the same week. Obsessed with using AI to eliminate friction. Currently geeking out about Cursor, Replit, and building full-stack apps in days instead of months.

Country

India

City

Kolkata

Industry

Information Technology & Services

Skill

Java, Public Speaking, Research, Project Management, Front-end Development, Microsoft Office, C, Management, Leadership, Team Management, Database Management System (DBMS), Coding Languages, Software Development, Graphology, SQL, Data Structures, HTML, Algorithms, Data Analytics, MySQL

Experience

Product Manager

Razorpay

2024-7 - Present · 2 yrs 3 mos

Bengaluru, Karnataka, India

Senior Associate

PwC Acceleration Centers

2023-1 - 2024-6 · 1 yr 6 mos

Bengaluru, Karnataka, India

Experienced Associate

PwC Acceleration Centers

2021-4 - 2022-12 · 1 yr 9 mos

Bengaluru, Karnataka, India

Marketing Intern

Emami Agrotech Limited

2020-5 - 2020-9 · 5 mos

Kolkata, West Bengal, India

Business Analyst

Uber

2019-1 - 2019-6 · 6 mos

Hyderabad Area, India

Business Analyst

Darwinbox

2018-7 - 2019-1 · 7 mos

Hyderabad Area, India

Intern

Tata Consultancy Services

2016-7 - 2016-8 · 2 mos

Kolkata Area, India

Worked on a project, Financial Inclusion, whereby I developed a prototype website which involved rural banking

Summer Intern

Indian Institute of Technology, Kharagpur

2015-6 - 2015-7 · 2 mos

Worked under the guidance of Prof. Pawan Goyal in IIT, KHARAGPUR. Topic- Analyzing Network Features of Google Book Distributional Thesaurus Network. The work was based on NATURAL LANGUAGE PROCESSING. It included managing of huge data and implementing complex algorithms that can learn from and make predictions on these data.