Flagship Projects

A selection of projects where I've paired robust LLM engineering with cinematic product experiences. Each one designed to scale and deliver real user value.

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Slides Agent

An AI-Powered Presentation Generation Platform

AI-powered presentation assistant that transforms ideas into polished slides with intelligent layout suggestions, content generation, and real-time collaboration features.

Key Insight: Combining vision models with layout generation algorithms enabled contextually relevant design recommendations that reduced presentation creation time by 75%.

  • GPT-4o
  • React
  • WebSocket
  • Canvas API
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Calorie AI Tracker

A Vision-Based Nutritional Analysis Engine

iOS app that uses multi-step LLM reasoning to analyze food images and provide accurate calorie tracking. Features advanced image processing, compression optimization, and integration with comprehensive nutrition databases for precise dietary insights.

Key Insight: Implementing multi-step LLM workflows with image compression before API calls reduced processing costs by 60% while maintaining 95% accuracy in food recognition and calorie estimation.

  • Flutter
  • Python
  • LangChain
  • Gemini
  • GPT
  • Firebase
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Get to Know Your Partner (AI Relationship Copilot)

An AI-Powered Relational Intelligence Platform

AI-powered relationship app that acts as an intelligent mediator to generate personalized questions for couples. Features swipeable flashcards for group activities, contextual conversation memory, and adaptive questioning based on relationship duration and topic preferences.

Key Insight: Implementing memory-augmented RAG with intelligent caching reduced response times by 75% while maintaining contextual conversation flow across multiple sessions, creating more natural relationship-building experiences.

  • Python
  • LangChain
  • RAG
  • Conversation Memory
  • Caching
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Texting Story Maker

A Real-Time Cinematic Conversation Renderer

iOS app that creates cinematic texting story videos like WhatsApp chat simulations. Features dual-side conversation rendering, real-time video generation, and advanced memory management for smooth storytelling experiences.

Key Insight: Implementing parallel rendering pipelines with race condition handling enabled simultaneous dual-character animation while maintaining 60fps performance and optimal memory usage on mobile devices.

  • SwiftUI
  • AVFoundation
  • Core Animation
  • Metal
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Plant Parent (Identifier, Disease, Care)

A Computer Vision Plant Health Diagnostic System

Mobile app that uses computer vision to identify plants, detect diseases, and provide personalized care recommendations based on environmental conditions and user location.

Key Insight: Fine-tuning a lightweight vision model with a custom plant disease dataset achieved 94% accuracy while maintaining sub-second inference times on mobile devices.

  • CoreML
  • SwiftUI
  • YOLOv8
  • GPT-4 Vision
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Meme Creation Copilot

An AI-Powered Multi-Step Meme Generation System

Intelligent meme generator that transforms ideas into culturally relevant memes using a sophisticated multi-step LLM pipeline. Expands user queries into multiple creative variations, integrates real-time knowledge retrieval via Tavily/Perplexity for topical accuracy, and employs in-context learning with few-shot examples to generate contextually perfect meme text.

Key Insight: Implementing a three-stage LLM workflow (query expansion → knowledge retrieval → contextual generation) with few-shot prompting increased meme relevance by 85% and reduced off-topic generations by 70%, creating culturally accurate content at scale.

  • Multi-Step LLM
  • Tavily API
  • Few-Shot Learning
  • RAG
  • Context Engineering

Validated Expertise & Community Impact

True expertise is not just claimed; it is validated by the market. I believe in sharing knowledge to elevate the ecosystem, and my technical writing serves as a public record of my thought process and a testament to my ability to communicate complex ideas with clarity and impact.

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Medium Thought Leadership

A Portfolio of Technical Writing & Community Impact

This portfolio of over 65 articles serves as a living document of my exploration and mastery of AI engineering. The core metrics below are key performance indicators that validate the market value of my technical knowledge and communication skills.

  • 250,000+ Global Views
  • 95,000+ Engaged Reads
  • 65+ In-Depth Articles Published
  • Thought Leadership
  • Technical Writing
  • AI Education
  • Community Impact

Career Timeline

A look at the roles, teams, and outcomes where I've scaled AI initiatives from research to production impact.

Indie Hacker · Writer · Freelancer

Mar 2024 — Present

Architecting and shipping production-grade AI systems while cultivating a global audience through technical thought leadership. Operating at the intersection of LLM engineering, mobile development, and content creation to build products that solve real problems at scale.

  • Engineered and deployed 8 production iOS applications from concept to App Store using Flutter, managing the entire product lifecycle including UI/UX design, multi-language localization across 15+ countries, and sophisticated monetization strategies via RevenueCat—generating recurring revenue streams.
  • Built enterprise-grade AI infrastructure for client projects using LangChain, FastAPI, and vector databases, implementing memory-augmented RAG pipelines with advanced context management that reduced hallucinations by 65% while maintaining sub-200ms latency.
  • Architected an intelligent news curation platform for UK-based startup (Atlas Apps) leveraging multi-step LLM reasoning, real-time web scraping, and email APIs—processing 10K+ articles daily to deliver hyper-personalized summaries with 94% user satisfaction.
  • Established authority in AI space with 100K+ readers across technical publications; awarded Medium Top Writer in Artificial Intelligence (Dec 2022), influencing thousands of engineers and driving meaningful discourse on LLM productionization.

Data Analyst · Zebra Technologies (Antuit.ai)

May 2021 — Jan 2024

Spearheaded strategic pricing intelligence and demand forecasting operations for Fortune 500 pharmaceutical and retail giants, architecting predictive systems that drove millions in revenue optimization. Transformed complex market dynamics into actionable insights, positioning clients ahead of competitive curves.

  • Architected sophisticated pricing engines for GlaxoSmithKline (GSK) that analyzed competitive landscapes across 50+ markets, predicting demand elasticity and market share fluctuations with 92% accuracy—directly informing pricing strategies worth $100M+ in annual revenue.
  • Engineered advanced promotional modeling and lifecycle pricing frameworks for major retail brands (RackRoom Shoes, J.Crew, Madewell), processing datasets exceeding 50TB to identify optimal price points and promotional cadences across thousands of SKUs.
  • Delivered forecasting solutions that slashed inventory carrying costs by 15% ($2.3M annual savings) while simultaneously boosting promotional ROI by 25%—achieving the rare feat of simultaneous cost reduction and revenue growth.
  • Designed and deployed industrial-scale data pipelines using PySpark and Azure Databricks, orchestrating complex ETL workflows that processed 10M+ daily transactions with 99.9% reliability, while implementing cutting-edge statistical models and machine learning algorithms for predictive accuracy.

Machine Learning Intern · Zonolith Technologies

Mar 2021 — Apr 2021

Pioneered computer vision infrastructure and intelligent automation systems that transformed manual workflows into scalable, API-driven services. Delivered production-ready solutions that exceeded accuracy benchmarks while dramatically accelerating business development operations.

  • Engineered a comprehensive image processing API leveraging OpenCV and deep learning models, supporting advanced operations including intelligent text overlay with font optimization, precision cropping with object detection, dynamic resizing with aspect ratio preservation, and AI-powered background removal—achieving 99.5% accuracy and processing 5,000+ images daily.
  • Built an intelligent lead generation automation system using Selenium and BeautifulSoup, scraping and enriching data from JustDial, Yellow Pages, and Google Maps with multi-threaded crawling—resulting in a 300% surge in qualified leads (15K+ contacts/month) while reducing manual research time by 95%.

Data Science Intern · Furlenco (Kieraya)

Jan 2020 — Jul 2020

Architected mission-critical data infrastructure and predictive analytics systems for Asia's fastest-growing furniture rental platform, empowering C-suite executives with real-time intelligence and automated KYC processes that scaled customer onboarding operations.

  • Engineered a custom OCR pipeline combining Tesseract and deep learning models for automated document validation and KYC verification, processing 2,000+ documents daily with 96% accuracy—slashing manual processing time by 80% and accelerating customer onboarding from days to hours.
  • Architected an executive intelligence dashboard using Dask and Plotly, aggregating data from 8 disparate sources to deliver real-time visualizations of customer acquisition, lifetime value, and operational metrics—becoming the primary decision-making tool for senior leadership and board presentations.
  • Conducted advanced churn prediction analysis using gradient boosting and survival analysis models, identifying at-risk customer segments with 87% accuracy—informing targeted retention campaigns that reduced customer churn by 12% and preserved $500K+ in annual recurring revenue.

SDE Intern · Dassault Systèmes

May 2019 — Sep 2019

Drove digital transformation initiatives for one of the world's leading engineering software companies, modernizing enterprise workflows through mobile-first integrations and geospatial analytics. Contributed to sustainability research through large-scale environmental data engineering projects.

  • Pioneered mobile integration between Telegram's messaging API and ENOVIA PLM platform, architecting a real-time notification system that delivered critical engineering updates to 500+ global team members—reducing project approval cycles by 40% and enabling asynchronous collaboration across 12 time zones.
  • Engineered a comprehensive geospatial data pipeline that scraped, processed, and visualized soil composition data across 28 Indian states, aggregating information from government databases and research institutions to create interactive maps supporting environmental sustainability initiatives—dataset now referenced in 15+ academic publications.

Core Competencies

A strategic blend of research depth and shipping velocity spanning the full AI product stack.

LLM & Agent Systems

  • Multi-Agent Orchestration (LangGraph, CrewAI, Autogen)
  • RAG Architecture (LangChain, LlamaIndex)
  • Fine-tuning & RLHF (LoRA, QLoRA, DPO)
  • Prompt Engineering & Chain-of-Thought
  • Vision & Multi-Modal Models (GPT-4o, Gemini, Claude)
  • Prompt Injection & Guardrails

Data & ML Infrastructure

  • Cloud & MLOps Infrastructure (GCP, AWS, Docker, Kubernetes)
  • API Deployment & Optimization (FastAPI, Flask)
  • Vector & Relational Databases (Chroma, Pinecone, PostgreSQL/pgvector)
  • Data Pipelines & ETL (PySpark, Azure Databricks)
  • Latency Optimization & Caching
  • RAG Evaluation (RAGAS, Recall@K)

AI Product Development

  • Mobile AI Apps (Flutter, SwiftUI, Firebase, CoreML)
  • Performance Monitoring & Observability (Prometheus, Grafana, LangSmith)
  • Cost Analysis & Optimization
  • Hallucination Mitigation & Safety
  • UI/UX for AI Products
  • Technical Documentation & Content Strategy

Let's build the next wave of intelligent products together.

My work is driven by a relentless curiosity to build things that matter. The past 1.5 years as an indie builder has been an intense, end-to-end masterclass in turning complex AI concepts into shipped, revenue-generating products. Now, I am ready to bring that same energy, ownership, and product-focused mindset to a collaborative team. I am actively seeking a role where I can contribute to a larger vision, tackle challenges at a greater scale, and grow alongside the best in the field.

Contact me
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