Naman Khandelwal

Software Engineer

Jaipur, Rajasthan, India3 yrs 8 mos experience

Highly Stable

Key Highlights

Expert in Reinforcement Learning for telecommunications.
Strong foundation in software engineering and data structures.
Hands-on experience with advanced machine learning algorithms.

Stackforce AI infers this person is a Telecommunications Software Engineer with expertise in Reinforcement Learning and advanced machine learning techniques.

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Skills

Core Skills

Reinforcement Learning

Other Skills

Advantage-Actor CriticAutodesk InventorC++Data StructuresDeep-Q NetworksJAVAMATLABMachine LearningNeural NetworksPandas (Software)Problem SolvingProximal Policy OptimizationPyTorchPython (Programming Language)Unity 3D

Experience

Rubrik

Software Engineer

Aug 2025 – Present · 7 mos

Goldman sachs

2 roles

Associate

Promoted

Jan 2025 – Aug 2025 · 7 mos · Hyderabad, Telangana, India

Analyst

Jul 2022 – Jan 2025 · 2 yrs 6 mos · Hyderabad, Telangana, India

Samsung electronics

Research And Development Intern

May 2021 – Jul 2021 · 2 mos · Bangalore Urban, Karnataka, India

Downlink Packet Scheduling using Reinforcement Learning:
Developed a multi-user channel-aware downlink packet scheduling model for 5G networks using Reinforcement Learning.
Implemented RL algorithms (Deep-Q Networks, Advantage-Actor Critic, Proximal Policy Optimization) for scheduling.
Designed a Per-Neural Network Scheme for approximating the policy & value functions improving the scalability of the model.
Redesigned Reinforce & A2C using Input dependent baseline for variance reduction that helped in improving the fairness.

Reinforcement LearningDeep-Q NetworksAdvantage-Actor CriticProximal Policy Optimization