ABHISHEK YADAV

Staff Software Engineer

LinkedIn: linkedin.com/in/abhishek-yadav-b6a7776a

Website: abhishek.ravsab.com

PROFESSIONAL SUMMARY

Staff Software Engineer with 10+ years of experience architecting and developing large-scale distributed systems for fraud detection, security, and platform engineering. Expert in backend development with Java and cloud-native technologies, specializing in web service and microservices architecture. Leading cross-functional team, designing scalable systems processing millions of events daily. My experience includes optimizing and simplifying complex systems and enhancing product performance while managing stakeholders effectively.

PROFESSIONAL EXPERIENCE

Staff Software Engineer - Bot and Fraud Mitigation | Harness (Traceable AI)

Bengaluru, India | January 2025 - Present

Leading backend engineering for bot and fraud detection platform serving high-throughput security systems processing millions of detection events daily across multiple production environments.

Technical Leadership & Architecture:

Design and implement bot detection systems with near real-time detection analysis.
Collaborate across stakeholders product team, security testing team, data science team and UI team to accomplish simplified customer experience for bot and fraud detection.

Key Projects & Impact:

Categorized Bot Detection Platform: Designed and implemented precategorized bot detection system using user-agent signature analysis with configurable tenant-level blocking and monitoring policies.
Actor and Account Projection System: Architected projection logic to aggregate and display actors and accounts from various policy violation detections in UI dashboards.
Policy Configuration Management: Facilitating redesign of fraud and bot detection policy configuration system to improve visibility and enable self-service management for tenants, reducing dependency on data science team for policy updates. Built proof of concept using RAG for automated policy generation by retrieving existing policies and sample spans.
Client-Side Bot Detection: Designed comprehensive onboarding flow for client-side bot detection integrating both automated proof-of-compute CAPTCHA and interactive image-based CAPTCHA challenges. Built decision engine to select appropriate challenge type based on risk signals.
Detection Event Notification System: Implemented multi-channel notification system (email, Slack) for fraud and bot detection events.
Platform Operations at Scale: Enabled Categorized bot detection platform across 50+ production tenants.

Software Engineer (Team Lead, KYC Platform) | PhonePe

Bengaluru, India | March 2023 - January 2025

Led KYC platform engineering team responsible for merchant onboarding and verification systems processing 100,000+ daily KYC journeys across multiple business verticals.

Leadership & Stakeholder Management:

Led cross-functional team managing end-to-end KYC collection platform for merchants, agents, and users
Collaborated with merchant business stakeholders to plan, design, and deliver self-onboarding and servicing solutions
Drove migration of existing merchants from Salesforce-based manual verification to automated compliance-driven workflows
Received excellent stakeholder feedback on design quality and delivery execution

Platform Architecture & Development:

KYC Platform Redesign: Decoupled KYC information collection from workflow execution, establishing new mental model that enabled partial KYC collection, bank account updates, user information prefilling, reKYC, and various operational use cases
Maker-Checker Framework: Designed and built generic extensible maker-checker system for creating, updating, deleting, and reviewing user journey configurations, eliminating production bugs from missing review processes
Workflow Automation: Implemented platform enhancements supporting auto-abort for stale workflows and auto-skip for partial KYC collection scenarios
Multi-Tenant KYC Journeys: Architected KYC collection journeys for Rent Payment, Vendor Payment, Agent Onboarding, user KYC profiles, and blocked user reinstatement use cases

Security & Compliance:

Partnered with AppSec and security teams to prevent bad actors through application security reviews
Implemented blocking mechanisms for fraudulent KYC documents, restricted banks, and banned entities
Ensured compliance with regulatory guidelines throughout merchant verification lifecycle

Methodology: Followed SDLC best practices including stakeholder management, requirement closure, planning and prioritization, resource allocation, design reviews, development, testing, and production monitoring

Software Development Engineer 2 | Amazon

Gurugram, India | September 2019 - February 2023

Delivered global seller registration platform features and migrated legacy systems to modern cloud architecture.

Global Platform Development:

Launched Brazil and Saudi Arabia in Seller Global Registration platform, collaborating with international stakeholders
Implemented global seller invitation feature in customer acquisition platform, creating unified experience and enabling deprecation of regional registration pipelines
Designed reusable modular components for Seller Profile page with clear separation of responsibilities enabling asynchronous development across distributed teams
Migrated License Information page from legacy regional stack to global stack, delivering unified seller experience

Code Quality & Modernization:

Modernized Seller Account Settings Dashboard Spring Web Services codebase, improving software assurance risk score by 30%
Updated project documentation and introduced development best practices ensuring consistent code quality
Participated in all stages of development lifecycle from requirements gathering to production release

Software Development Engineer | Amazon

Hyderabad, India | July 2016 - August 2019

Built fraud detection systems and ML pipelines for document verification platform.

System Architecture & Migration:

Collaborated with project managers to modularize monolith document processing platform into microservices architecture
Led migration from legacy platform to native AWS, setting ambitious but realistic milestones for smooth transition

Fraud Detection & ML Engineering:

Automated Document Screening Platform: Built detection system analyzing document content and metadata for forgery indicators, reducing non-performance rate by blocking hundreds of bad actors weekly
ML Pipeline Engineering: Architected end-to-end ML pipelines from data gathering to deployment with monitoring dashboards, alarms, integration testing, and CI/CD support
OCR Accuracy Improvement: Enhanced OCR accuracy for identity documents by 10% through language model retraining with annotated datasets

TECHNICAL SKILLS

Programming Languages: Java, Python, SQL, Bash, C++

Backend & Frameworks: Spring Framework, DropWizard, gRPC, Protocol Buffers, GraphQL, RESTful APIs

Databases & Storage: PostgreSQL, MongoDB, DynamoDB, MariaDB, Aerospike, Apache Iceberg, Trino

Big Data & Streaming: Apache Kafka, Apache Spark, Stream Processing

Cloud & DevOps: AWS (EC2, ECS, S3, SageMaker, Lambda, CloudFormation, Step Functions, CloudWatch, IAM, VPC, CDK), Docker, Kubernetes, Helm, Istio, Nginx

Tools & Practices: Git, GitHub, GitLab, Maven, RabbitMQ, CI/CD, Microservices Architecture, Distributed Systems, Test-Driven Development, Agile

Security & ML: Fraud Detection, Bot Mitigation, Machine Learning Operations, Retrieval Augmented Generation (RAG), Document Verification, Security Testing

EDUCATION

Birla Institute of Technology and Science (BITS), Pilani

Bachelor of Engineering (B.E.) - Computer Science | CGPA: 8.0/10 | July 2011 - July 2016

Master of Science (M.S.) - Physics | CGPA: 8.0/10 | July 2011 - July 2016

CBSE 12th Board | L.R.S. D.A.V. Sr. Secondary School, Abohar | 80% (PCM: 93%) | March 2011

CBSE 10th Board | Nosegay Public School, Sri Ganganagar | 93% (SM: 95%) | March 2009

ADDITIONAL INFORMATION

Technical Interests:

Physics Simulations: Developed Ray Tracing Engine in Java
Information Security: Security auditor with multiple internal applications audited to identify potential security issues.
Open Source: Contributor to Linux ecosystem; authored Gnome Shell Extension for MacOS-style window management
Privacy Advocacy: Self-host personal infrastructure including SearchXNG, Nextcloud, and data management solutions

GitHub Contributions:

Profile Archive: Archived GitHub Profile

GitHub Contributions Graph