Abhishek Adhave

CEO

Bengaluru, Karnataka, India4 yrs 6 mos experience

AI ML PractitionerAI Enabled

Key Highlights

Reduced manual effort by 40% in risk model validation.
Pioneered predictive hardware failure solution at Cisco.
Optimized algorithms using reinforcement learning for cost reduction.

Stackforce AI infers this person is a Quantitative Developer in the Fintech industry with strong expertise in machine learning and data automation.

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Skills

Core Skills

Quantitative ResearchQuantitative FinancePython (programming Language)Pandas (software)NumpyReinforcement Learning

Other Skills

KerasTensorFlowRisk ManagementCounterparty RiskCredit Risk ManagementImage ProcessingSignal ProcessingGo (Programming Language)Random ForestMathematicsJenkinsObject-Oriented Programming (OOP)Google Cloud Platform (GCP)GitData Structures

About

A highly skilled IIT Graduate and Quant Developer with 4+ years of experience in Python, machine learning, and data automation. Certified in FRM Level 2, specializing in optimizing risk model validation and exposure calculations using advanced tools like NumPy, Pandas, and Python APIs. Currently part of the Counterparty Credit Risk team at Nomura Services, where I focus on automating processes, validating risk models, and enhancing computational efficiency, reducing manual effort by up to 40%. At Cisco Systems, I pioneered a predictive hardware failure solution, optimized fan-cooling algorithms with reinforcement learning, and developed a scalable data pipeline with Docker and Kubernetes. Proficient in Python for large-scale data analysis and building ML-driven solutions to optimize system performance and reduce costs. Passionate about leveraging cutting-edge technologies to drive efficiency and innovation in the finance and tech domains.

Experience

Goldman sachs

Quant Strats

Sep 2025 – Present · 6 mos · Bengaluru, Karnataka, India · On-site

Multi-Asset Solutions | Asset Wealth Management

Quantitative ResearchQuantitative Finance

Nomura

Quantitative Developer

Dec 2024 – Aug 2025 · 8 mos · Mumbai, Maharashtra, India · Hybrid

Python (Programming Language)Quantitative Finance

Cisco

2 roles

Software Engineer

Aug 2021 – Dec 2024 · 3 yrs 4 mos · Bangalore Urban, Karnataka, India · On-site

Performed experiment of real-time devices to generate data required to simulate and build algorithm models
Build a self-adaptive and robust Q-learning based RL algorithm using Keras and Tensorflow, reducing the energy cost by 15%
Working on the results obtained to take the algorithm to production

Pandas (Software)NumPy

Software Intern

May 2020 – Sep 2020 · 4 mos · Bengaluru, Karnataka, India

Rwth aachen university

Research Intern

May 2019 – Jul 2019 · 2 mos · Aachen, North Rhine-Westphalia, Germany

Project: Design and Implementation of PUF-based Hardware Obfuscation on FPGA
Designed a PUF based wire-swap logic obfuscation algorithm to obfuscate processor cores resilient against SAT and ML-attacks
Developed a software tool to generate netlist in assignment and technology independent generic form using a Pyverilog parser
Developed an automation tool to obfuscate the given design using epic and wire-swap algorithm and integrate it with the PUF structure
Designed 32-bit Anderson PUF, optimised the overheads and verified on Zedboard for the required hamming distance between responses
The algorithm is more resilient than similar other obfuscation algorithm verified for ISCAS'85 &'89 benchmarks incurring similar overheads