Apr 2023 – Dec 2024 · 1 yr 8 mos

• Team Leadership & Growth:
• Built a cross functional ML/AI team grounds up and scaled it to 12 member team, including data scientists and ML/Data/Software engineers, while fostering a collaborative, innovative culture.
• Successfully managed product solutions in search, recommendation, and customer engagement platforms.
• Following Netcore's acquisition of Unbxd, promoted to Director of Engineering to lead the central AI/ML team serving both organizations, including complete AI/ML roadmap for Netcore & Unbxd
• Instrumental in Netcore Unbxd's recognition as an industry leader: My strategic initiatives, including the development of compelling demos, roadmaps, and presentations, along with my expertise in addressing industry analyst evaluations, positioned Netcore Unbxd as a leader in AI/ML-powered product discovery solutions, notably in Forrester and Gartner reports, for its leadership in the AI/ML category.
• AI/ML Product Architect:
• Oversaw design & execution of high-impact AI/ML algorithms, including knowledge graphs, vector search, and personalization models, achieving 40%+ adoption across 70+ clients.
• Expert in Generative AI and LLMs, I’ve developed domain-specific models for 20+ e-commerce use cases, achieving 50% higher accuracy and 10x faster responses than GPT-3.5-turbo.
• Built an LLM-powered catalog enrichment pipeline and NLP/visual data augmentation systems for Named Entity Recognition and category prediction.
• Led Netcore's Raman CoPilot, an AI-driven marketing assistant, and pioneered semantic caching to reduce real-time application latency.
• Spearheaded multilingual vector search and visual search, improving CTR (+7%) and RPV (+5%). Re-architected data storage and scaled AI platforms, managing 1000+ ML pipelines daily, boosting infrastructure efficiency by 50%.
• Recognition & Awards: Multiple quarterly and yearly awards, Problem Solver (Q1 2024), and the WhizBlitz Excellence Award (2023).

May 2021 – May 2023 · 2 yrs

• led a team of 5-7 engineers in developing cutting-edge search and recommendation features. In this role, I acted as an Engineering Manager & also IC at times, overseeing the entire ML Engineering, Data Engineering, and Platform Engineering efforts. My responsibilities included defining technical strategies, mentoring team members, and ensuring the delivery of high-quality, scalable solutions.

Dec 2018 – May 2021 · 2 yrs 5 mos

• Delivering end to end solutions to improve AI/Search/Relevance/Machine learning platforms:
• Leading AI Platform team responsible for building AI models/algorithms from scratch
• Built vertical specific statistical & LSTM/CNN/CRF neural netwrork models for Entity recognition of an e-commerce search query
• Implemented deep recommender models for generating item-item /user-item recommendations using tensorflow & keras apis
• AI model orchestration leyer on top of kubeflow pipelines for train/tune/validate/deploy use cases of models like NER, personalization
• Designed & Built data storage layer to power all the AI models with the help of spark/emr based data transformation components
• Catalog Enrichment using heuristics, phraser & NER models
• Solr Cloud bug fixes to improve platform stability
• Search platform microservices like catalog SOT, central configuration store
• Recognition & Awards: Multiple quarterly and yearly awards, including the Star Performer Award (2019)

Oct 2017 – Dec 2018 · 1 yr 2 mos · Noida Area, India

• Managing and optimizing major naukri search applications like resdex (resume search), job search
• Designing and implementing complex features like hiring for (resdex job applications)
• CI/CD integration along with migrating legacy search system to Elasticsearch
• Semantic query expansion enhancements (makesense) for job search
• Job seeker data analysis to infer stats like career start date, salary trend
• Disaster recovery setups including kubernetes migration and data syncronization strategy for all data sources lucene/elasticsearch/mysql

Jul 2017 – Sep 2017 · 2 mos

Jul 2015 – Jun 2017 · 1 yr 11 mos

• Feature development for shine recruitment portal with primary focus on improving search performance/relevance.
• Major projects include Custom Scoring Plugin, Similar Candidates Query Expansion, Auto-Suggester Backend
• Technologies used: Python(Django Framework), SOLR, Rest Framework, Mysql, MongoDB, Memcache