Pulkit Nijhawan

Software Engineer

Uttar Pradesh, India3 yrs 6 mos experience

AI EnabledHighly Stable

Key Highlights

Expert in Machine Learning and Deep Learning technologies.
Proven experience in developing high scale ML systems.
Strong background in quantitative analysis and trading strategies.

Stackforce AI infers this person is a Machine Learning Engineer with a focus on AdTech and Fintech industries.

Contact

pulkit.nijhawan1998@gmail.com LinkedIn

Skills

Core Skills

Machine LearningDeep LearningMl-opsSoftware Engineering

Other Skills

AerospikeAirfowAnalytical SkillsApache AirflowApache SparkArtificial Intelligence (AI)Azure DatabricksC++Continuous Integration and Continuous Delivery (CI/CD)Data ScienceDatabasesEconomicsGPUHigh-Level DesignIntegration Testing

About

Doing Breadth First Exploration at this stage of career.

Experience

Software Engineer

Oct 2025 – Present · 5 mos · Bengaluru · On-site

Inmobi

3 roles

Senior Machine Learning Engineer - Performance Advertisement

Jun 2024 – Oct 2025 · 1 yr 4 mos

Working on building ML models for ad-recommendation for the performance demand side platform of Inmobi

Apache SparkApache AirflowTensorFlowAzure DatabricksRayGPU+3

Senior Machine Learning Engineer - ML Platform

Promoted

Jan 2024 – May 2024 · 4 mos

Part of the Machine Learning Platform Team - working on ML-Ops to develop high scale low latency ML inferencing systems

Spring BootDatabasesContinuous Integration and Continuous Delivery (CI/CD)Deep LearningMachine LearningTensorRT+2

Software Engineer - ML platform

Jul 2022 – Dec 2023 · 1 yr 5 mos

Problem SolvingJavaKubernetesMySQLSoftware Engineering

Thinkbot research

Quantitative Research Intern

Jan 2022 – May 2022 · 4 mos · Bengaluru

Working on a low latency C++ code base to improve trading strategies with index options as the instrument

Nomura

Global Market Analyst Intern

May 2021 – Jul 2021 · 2 mos · Mumbai, Maharashtra, India

Part of the Global Market Division

Abheri fintech private limited

Quantitative Analyst Intern

Jun 2020 – Aug 2020 · 2 mos · Bangalore Urban, Karnataka, India

Developed an end-to-end pipeline model in python to predict one day ahead returns and volatility of NIFTY-50 using global indicators

Niti aayog

Research Intern

Nov 2019 – Dec 2019 · 1 mo · New Delhi, Delhi

Indian institute of technology, kanpur

SURGE Intern

May 2019 – Jun 2019 · 1 mo · Kanpur

Worked on the economic, legal and technical aspects of privacy in the modern era
Scrutinized different approaches to regulate the markets for personal information
Was Funded by IIT-Kanpur for the project