Vikas K.

Engineering Manager

Mumbai, Maharashtra, India11 yrs 3 mos experience

AI ML PractitionerAI Enabled

Key Highlights

Improved checkout conversion by 70% at Fynd.
Scaled services to 2M+ requests per minute with 99.95% availability.
Delivered LLM-powered solutions automating 90% of workflows.

Stackforce AI infers this person is a Backend Engineering Manager specializing in E-commerce and AI-driven platforms.

Contact

vikas.mca.jnu@gmail.com LinkedIn

Skills

Core Skills

Generative AiLarge Language Models (llm)Distributed SystemsPayments InfrastructureGenaiLlm Integrations

Other Skills

Google Cloud Platform (GCP)KubernetesRetrieval-Augmented Generation (RAG)API integrationsRedisDockerPython (Programming Language)PHPMySQLAmazon EC2Amazon VPCAmazon CloudFrontAmazon Relational Database Service (RDS)Amazon ECSAmazon EKS

About

I am an Engineering Manager with 11+ years of experience building large-scale backend and platform systems across payments, e-commerce, and AI-driven products. At Fynd, I led the cart and payments platform powering high-scale commerce systems, improving checkout conversion by 70% and scaling services to 2M+ requests per minute at 99.95% availability. I have architected distributed systems, event-driven microservices, and payment platforms operating at low latency and high reliability. More recently, I have been working on GenAI and agentic systems, including LLM-powered copilots and clinical AI platforms using RAG, LangGraph, and modern LLM stacks. My core focus areas: • Distributed systems and system design at scale • Payments infrastructure and high-throughput backend systems • GenAI, LLM integrations, and agentic workflows • Engineering leadership, execution, and team scaling I enjoy solving complex system design problems, building high-performing teams, and delivering products that directly impact business metrics. Currently targeting Engineering Manager / Staff Backend roles to drive platform-level impact and build scalable, intelligent systems.

Experience

11 yrs 3 mos

Total Experience

2 yrs 8 mos

Average Tenure

7 mos

Current Experience

Turing

Engineering Manager

Oct 2025 – Present · 7 mos · Hyderabad, Telangana, India · Remote

Led and reviewed LLM evaluation pipelines for Meta, reviewing model-generated code and prompts using RLHF-aligned rubrics
Led and reviewed evaluation datasets and scoring frameworks for Anthropic model training
Led a ~20-member team building datasets for Amazon’s τ-bench to evaluate reliability of agentic systems

Generative AILarge Language Models (LLM)

Fynd (shopsense retail technologies ltd.)

3 roles

Engineering Manager

Promoted

Oct 2022 – Sep 2025 · 2 yrs 11 mos

Led cart and payments platform for a high-scale e-commerce system, managing a team of 19 engineers and improving checkout conversion by 70%
Architected distributed systems handling 2M+ requests/min at ~75ms latency with 99.95% availability
Built a payment extension platform (Stripe, Razorpay, JioOnePay), increasing gateway coverage by 80% and enabling partner ecosystem growth
Delivered LLM-powered support copilot using RAG and API integrations, automating ~90% of workflows
Drove engineering excellence: reduced release cycles by 40%, improved team productivity by 70%, and ensured GDPR/SOC2 compliance

Google Cloud Platform (GCP)KubernetesDistributed systemsPayments infrastructure

Software Development Engineer 3

Oct 2021 – Oct 2022 · 1 yr

Led backend delivery for cart and payments features including prioritisation, COD customization, and offers
Designed fault-tolerant systems achieving 99.95% availability at scale
Built audit trail and fraud detection systems, significantly improving detection efficiency
Standardized third-party integrations using OpenAPI and SDKs, reducing onboarding time by 80%

KubernetesRedisDistributed systemsPayments infrastructure

Senior Platform Engineer

Apr 2018 – Oct 2021 · 3 yrs 6 mos

Built payment-as-a-service platform improving transaction efficiency by ~95%
Migrated monolith to microservices, scaling to 1M+ RPM with low latency
Improved system performance and reliability using caching, async processing, and event-driven architecture
Implemented observability stack (Prometheus, ELK, OpenTelemetry), reducing MTTR by 90%

RedisDockerDistributed systemsPayments infrastructure

Byond travel

Technology Developer

May 2016 – Apr 2018 · 1 yr 11 mos · Bengaluru Area, India · On-site

Built scalable backend systems for travel booking platform (search, booking, checkout)
Developed CMS dashboards and internal tools reducing operational effort by 80%
Built chatbot using Dialogflow automating ~70% of queries

RedisDocker