Developed and maintained a production-grade alumni portal connecting 100,000+ alumni with authentication, RBAC, advanced search, and secure data management. Implemented light/dark themes, cross-device compatibility, and the Helping Hands initiative for community support.
Shivam Manihar Sahu.
Full-Stack Engineer building scalable web applications, AI-powered products, and high-performance distributed systems.
Building products at scale.

I'm a Software Engineer II at Fanatics with 4+ years of experience building scalable web applications, AI-powered products, and customer-facing experiences used by millions of users.
At Fanatics, I work across the full stack using React, Go, GraphQL, and cloud technologies to deliver high-impact features. My recent work focuses on AI-driven product experiences, personalization systems, and large-scale e-commerce platforms.
I enjoy solving complex engineering challenges involving system design, distributed systems, and performance optimization. I'm passionate about building reliable software that scales and delivers measurable business impact.
Outside of work, I actively practice data structures and algorithms on LeetCode, explore modern system architecture patterns, and continuously learn new technologies to sharpen my engineering skills.
"Build scalable systems. Solve meaningful problems. Keep learning."
Professional journey shipped to millions.
Building AI-powered and customer-facing products used by millions.
Software Engineer II @ Fanatics
Jun 2023 — PresentWhy Fans Choose This (AI-Powered Product Highlights Generation)
- ▸Architected and delivered an AI-powered product highlights platform that automatically generates purchase-driving content for Featured Product Pages (FPPs), improving product discoverability across Meta and Google Shopping traffic.
- ▸Integrated Citadel for vision-context extraction and Rosetta for LLM content generation, reducing prompt payload by ~2,000 tokens per image while significantly lowering AI inference costs.
- ▸Built configurable prompt-management and experimentation workflows enabling Product teams to modify AI behavior without engineering deployments, accelerating feature rollout.
- ▸Scaled generation across 10,000+ products, contributing to a 30% increase in conversion rate through AI-generated product highlights.
FanCash Tokenization & Redemption Experience
- ▸Designed conditional FanCash status alerts based on login state and identity validation, enabling secure tokenized promotional flows used by 1.2M+ users.
- ▸Improved clarity and trust in redemption journeys, driving a 26% increase in successful redemptions and reducing user drop-offs across high-traffic campaigns.
- ▸Built alert states (Success, Already Claimed, Expired, Error) using Experience Service and Iris session data, improving first-attempt task completion by 18%.
- ▸Collaborated across engineering, product, and design teams to prototype, review, and ship low-latency production features supporting million-scale traffic.
Meta Ads PDP Personalization
- ▸Led Meta Carousel-driven PDP personalization, surfacing clicked products with 9 dynamic recommendations for users arriving via paid social ads.
- ▸Integrated Meta deep links by parsing product IDs from query parameters, ensuring intent-matched landing pages for 100K+ daily ad-driven sessions.
- ▸Built scalable React frontend components and GraphQL/Go service pipelines to fetch precise product sets with sub-200ms latency.
- ▸Improved product discovery and relevance, resulting in a 20% increase in customer retention for paid social traffic.
Software Engineer I @ Fanatics
Jun 2022 — Jun 2023- ▸Designed and developed AI-powered customer support chatbot and voice-assistant workflows using Amazon Lex and AWS Lambda, reducing agent contact volume by 80%.
- ▸Built fully responsive and accessible UI components aligned with WCAG standards, improving usability across 50K+ monthly users.
- ▸Optimized application performance through lazy loading and component-level improvements, reducing page load times by 30%.
Things I built end-to-end.
Distributed systems, LLM tooling, and infrastructure problems I picked up because they were interesting.
Built a full-stack platform connecting food donors with NGOs to reduce food wastage and promote social good. Integrated Google Maps API for real-time location tracking, optimized donation routing, and configured automated email notifications using PHP Mailer.
The stack.
What I reach for, by category.
Languages
Frontend
Backend
Cloud / Infrastructure
Databases
AI / LLM Engineering
Software Engineering
Milestones & Impact.
Building products that create measurable impact.
LeetCode Enthusiast
Solved 900+ problems across DSA and System Design preparation
Software Engineer II @ Fanatics
Building AI-powered customer experiences serving millions of users
Current
Scaled AI Platform
Built AI-powered product highlight generation for 10,000+ products
30% Conversion Boost
FanCash Platform
Delivered secure redemption experiences used by 1.2M+ users
1.2M+ Users
Meta Ads Personalization
Personalized PDP experiences for 100K+ daily ad-driven sessions
100K+ Daily Users
Amazon Lex Chatbot
Reduced customer support contacts by 80% using AI automation
80% Reduction
Full-Stack Specialist
4+ years of experience building scalable web applications and distributed systems
React • Go • Node • AWS
Let's build something.
Open to SDE-2 / Full-Stack Developer roles, interesting infra problems, and quick conversations.