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Machine Learning Engineer with 4 years of experience delivering end-to-end AI solutions with a strong engineering-first approach. An early adopter in Self-Supervised Learning, LLMs, GenAI, and recent Agentic systems, consistently explored the frontier of the AI space. Practices a first-principles problem-solving approach driven by a passion in owning impactful and performant systems that drive growth.
Areas of Interest
Key Skills
Machine Learning & AI
Cloud & Infrastructure
Data Engineering & Analytics
Web Development & Design
Programming & Development
Work Experience
Aidaptive by JarvisML
Cupertino, USAAI-driven personalization platform focusing on hospitality and e-commerce.
ML Engineer
Featured Image Reranking & Flagging
Delivered an image-reranking system to dynamically select the best "featured" image for a hospitality listing to display on the website.
Retrieved relevant images based on user search context (e.g., beachfront, pool) for dynamic visual experiences.
Extended Flagr in Go, for sub-150ms live evaluations. Enabled a dynamic feature-flagging, already shows 80% + win-rate over control.
Hospitality Image Attribute Extraction
Led end-to-end implementation, serving 44 shopify and 55 hospitality VRM clients, powering personalized search, recommendations and metadata generation.
Crawled Booking-com, Airbnb to compile 11M+ image-text pairs identifying ~114 granular hierarchical attributes (e.g., pool, hot_tub, fireplace, beach_view) in listing images, achieved ~ 0.87 multi-label F1.
Natural Language to SQL - Ask A Metric
Developed an on-premise prototype for both internal and client use, allowing non-technical stakeholders to execute SQL using natural language.
Experimented with various models (SQL-Coder, LLaMA, GPT-3.5) with a RAG vector store for schemas. Generated Postgres compatible SQL for typical queries even with multi-level joins; partial support for BigQuery.
GenAI for Consistent Character Generation
Explored GenAI models for on-brand visual content in collaboration with a production house for a then upcoming action movie "Crackk," featuring Vidyut Jammwal, Nora Fatehi, and Arjun Rampal.
Trained LoRAs on SDXL2 for each actor, employed a post workflow involving AI Upscaling, Inpainting, Face-Swapping and Face-Restoration to generate high-quality likeness.
Built visual similarity recommendation pipelines for hospitality and ecommerce clients, on an average boosting RPI by 14%.
Aisle3
London, UKEarly-stage e-commerce aggregator for multi-merchant product discovery.
Computer Vision Researcher
Product Matching
Developed the core business IP; multi-stage pipeline fusing multi-modal inputs to perform exact-match of products across merchants.
Leveraged Self-supervised methods (DINO, SimCLR, MoCo) with Swin Transformers for robust feature extraction, achieving P@1 = 0.91 and Recall = 0.96.
Employed Faiss + Elasticsearch for scalable dense vector retrieval, orchestrated via Airflow, handling 60GB+ throughput.
Product Image Attribute Extraction
Designed a multi-headed classifier to extract fine-grained attributes (pattern, material, ankle height) for footwear products, reaching an F1 = 0.93 on curated eval.
Developed color detection using ROI pixel analysis in CIELAB space, achieving F1 0.91.
Trained utility models — product categorizer, pose detection, out-of-domain detection
Founding ML Engineer
Led infrastructure setup, establishing backend systems and data ingestion and ETLs.
Built serverless end-to-end Product Matching workflows on AWS Stepfunctions.
Developed a human-in-the-loop annotation tool using FastAPI and Faiss, used to create ~120K pairwise annotations.
Early Work(May '19 – Aug '20)
Startup providing face recognition and liveness detection solutions.
Developed peri-ocular recognition for masked facial recognition during the pandemic.
Built a Face Liveness detection SDK (tf.js on WebGL, OpenCV on WASM) for real-time mobile Aadhar KYC (Govt. ID OCR + Face ID and Liveness) for identity verification
Collaborated with Scamlytics on sensitive data to identify scam accounts.
Platform enabling social commerce through chatbots and automation.
Integrated Dialogflow for chatbots and built a menu-digitization app.
Financial technology firm providing AI-driven valuation tools.
Led web scraping and data curation efforts for financial analytics and a universal About Us page scraper.
Startup focused on automated trading solutions for retail investors.
Explored Genetic Programming for trading rules discovery.
Automated Financial Insights posting using Selenium, driving increased user engagement