Kunal Gupta

Senior Software Engineer

New Delhi, Delhi, India7 yrs experience

Highly StableAI ML Practitioner

Key Highlights

Led critical initiatives impacting 150M users.
Designed scalable systems for real-time policy evaluation.
Mentored junior engineers and improved workflows.

Stackforce AI infers this person is a Backend-focused Software Engineer in the Fintech industry.

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Skills

Core Skills

GolangGrpcPythonData EngineeringJavaBackend Development

Other Skills

3D ModelingAmazon Web Services (AWS)Angular 5AngularJSApache AirflowArtificial Intelligence (AI)BlenderBootstrapCC (Programming Language)C++CSSCascading Style Sheets (CSS)ChemContent Development

About

Software Engineer with 6.5 years of experience building, scaling, and maintaining reliable backend systems and services. Strong background in designing distributed systems, writing high-quality production code, working on low latency trading platforms, adept in Post Trade and Risk Technology functions, collaborating cross-functionally to deliver business-critical features. Experienced in mentoring, and managing junior engineer teams to lead org wide charter and driving efficiency across the board. Focused on owning problems end-to-end and continuously improving system performance, reliability, and developer workflows. Experience across a wide range of tools and technologies including but not limited to Python, Java, Golang, C++, Pandas, Numpy, gRPC, Protobuf, Spring, Django, GCP, AWS etc.

Experience

7 yrs

Total Experience

2 yrs 6 mos

Average Tenure

1 yr 11 mos

Current Experience

Coinbase

Senior Software Engineer

Jul 2024 – Present · 1 yr 11 mos · New Delhi, Delhi, India · Remote

Unified Onboarding and KYC
● Worked on Identity, Unified Onboarding, and KYC platforms supporting ~200M users globally.
● Designed and implemented a real-time, event-driven, highly scalable, available, and extensively
monitored policy evaluation system processing Kafka events at scale, executing OPA (Rego) policies,
emitting eligibility decisions, and powering Snowflake and Databricks using an elaborate ETL pipeline
system using Go, gRPC, protobuf, Kafka, Docker, and Kubernetes.
● Led redesign of the Legal Name Change platform by re-architecting APIs and data models, integrating
identity verification, and introducing ML-based (LLM integration) name similarity matching to improve
verification success rates, leveraging Python, Pytorch, LangGraph, PGVector, Ruby, Go, and Datadog.
● Built backend systems for US Tax Onboarding and implemented regulatory-driven offboarding to
remove ~15M inactive users with strong guarantees around correctness, auditability, and safety,
utilizing Go, Ruby, Apache Airflow, and Postgres
● Led critical production initiatives impacting ~150M users on a Code Yellow initiative and
mentored/managed interns while coordinating work across contractors.

GolanggRPCDockerKubernetesKafkaPostgres+7

Tower research capital

Core Engineering Software Developer

Apr 2021 – Jul 2024 · 3 yrs 3 mos · Gurugram, Haryana, India · Hybrid

Risk Technology and Post-Trade
● Designed and owned large-scale data platforms for risk monitoring, post-trade surveillance, and
compliance, processing petabytes of market and transactional data annually across equities and
crypto markets using Python, multiprocessing, Pandas, Numpy, and shell scripting.
● Built high-quality data models and ETL pipelines powering pricing analytics, index decompositions,
and risk evaluation, leveraging Pydantic, Django, PostgreSQL, and Elastic Search
● Developed data distribution services delivering data to internal systems and external vendors via APIs
and SFTP, achieving up to 20x throughput improvements through parallel processing and system-level
optimizations via websockets, asyncio, and massively parallelized Map Reduce workflows.
● Implemented low-latency and performance-critical components, including a C++ NASDAQ ITCH 5.0
parser and reconciliation safety services deployed alongside FPGA-enabled trading infrastructure.
● Built and maintained internal platforms with a strong focus on reliability, observability, automated
testing, and CI/CD using ELK stack, Java, and Grafana monitoring

PythonPandasNumpyDjangoPostgreSQLElastic Search+3

Goldman sachs

2 roles

Software Engineering Analyst

Jun 2019 – Apr 2021 · 1 yr 10 mos · Bangalore · On-site

Analyst @ Human Capital Management Division
● Developed and maintained distributed backend services for the firm’s proprietary Human Capital
Management platforms.
● Built notification systems, background verification workflows, required absence, vacation monitoring,
and external vendor data feeds supporting firm-wide operations using Java, Spring, AngularJS, and
Groovy
● Delivered multiple global releases with emphasis on correctness, security, and operational stability.

JavaSpringAngularJSGroovyBackend Development

Summer Analyst

May 2018 – Jul 2018 · 2 mos · Bangalore

Technology Division -
I was a part of the Human Capital Management division at Goldman working on designing, developing, and deploying web based full stack applications managing HR related functions like Required Absence and leveraging multiple GS internal tools and technologies.
Tech stack used: Java, Angular 5, Shell Scripting, Groovy

JavaAngular 5Shell ScriptingGroovy