Vignesh Prajapati

CTO

Ahmedabad, Gujarat, India12 yrs 10 mos experience
Highly StableAI Enabled

Key Highlights

  • $15M+ generated via AI/ML solutions.
  • 3.3x conversions for JioMart through AI-driven personalization.
  • Led Llama2-based Jio Copilot showcased at Meta Connect 2023.
Stackforce AI infers this person is a B2C AI/ML expert specializing in eCommerce and recommendation systems.

Contact

vignesh2066@gmail.comLinkedIn

Skills

Core Skills

Generative AiRecommender Systems

Other Skills

APIsAlgorithmsAmazon Web Services (AWS)AnalyticsApache HadoopApache MahoutApache PigApache SparkBig DataBloggingContent StrategyCore JavaData MiningData ModelingDeep Learning

About

With 13+ years of experience, I build cutting-edge AI solutions for Fortune 500 companies like Reliance (JioMart),. My expertise spans Generative AI, LLMs, recommendation systems, and MLOps, delivering $15M+ in revenue growth, 3.3x conversions, and 10M+ fraud interventions. Why Work With Me? ✅ Proven Impact: $15M+ generated via AI/ML. ✅ Full-Cycle AI: Data → LLM fine-tuning → RAG → Deployment. ✅ Leadership: Managed cross-functional teams (Data Science, MLOps, Engineering). Key Specializations 🔹 Generative AI: LLM fine-tuning (Llama2, GPT-4), AI Agents (LangChain, CrewAI). 🔹 RAG & Chatbots: Context-aware AI assistants for eCommerce & support. 🔹 MLOps/LLMOps: Scalable pipelines on GCP/AWS (Vertex AI, SageMaker, Bedrock). 🔹 Recommendation Systems: 12 Diffreent types of Hybrid Recommendation models boosting CTR & conversions. 🔹 Data Science & Predictive modeling: Applied over usecases with eCommerce, Healthcare and Fintech domain ✅ Key Expertise: eCommerce Recommendations: Delivered 2.7x CTR and 3.3x conversions for 8M+ users at JioMart via AI-driven personalization. Chatbots & Agentic Workflows: Led Meta-partnered JioCopilot (Llama2 fine-tuned) for conversational commerce, featured at Meta Connect 2023. Multimodal RAG Systems: Built semantic search engines using CLIP embeddings, LlamaIndex, and langchain for text-image hybrid retrieval. End-to-End MLOps: Scalable pipelines on GCP, Kubeflow, and Ray for training/inference optimization. Notable Wins 🏆 JioMart: 3.3x conversions via AI-powered personalization. 🏆 Meta Connect 2023: Built Llama2-based Jio Copilot for retail. 🏆 $10M saved with AI fraud detection for US banks. Let’s Build the Future of AI! Interested in: Custom LLMs for your domain AI chatbots for discovery & support Scalable MLOps/LLMOps 🚀 Let’s connect and turn AI challenges into breakthroughs! #GenerativeAI #LLMs #MachineLearning #AIInnovation #MLOps #ArtificialIntelligence

Experience

12 yrs 10 mos
Total Experience
1 yr 9 mos
Average Tenure
--
Current Experience

Fynd (shopsense retail technologies ltd.)

AI & ML Lead | Engineering Manager | Data Science

Nov 2022 – Dec 2024 · 2 yrs 1 mo

  • Impelmented End to End Product Recommendation system with ML, Data, Platform, and Infra teams.
  • Implemented and Deployed strategies for PDP, Cart, and Homepage, including Similar Products, Buy Again and Personalized Recommendations.
  • Established: Created AI/ML best practices and integrated with the eCommerce platform.
  • Developed: Executed POCs for Recommendation, Semantic Search, and Chatbots using Llama2.
  • Built: Designed end-to-end AI pipelines on GCP with Ray and Kubeflow.
  • Scaled: Optimized AI/ML pipelines for large datasets like JioMart.
  • Collaborated: Partnered with Meta on Jio-Copilot, fine-tuning Llama2, Falcon, and Phi-2 models.
  • Notable Work: Collaborated with Meta and Reliance on LLM-based solutions (OpenAI, Llama), showcased at Meta Connect 2023.
Machine LearningRecommender SystemsGenerative AILarge Language Models (LLM)Deep Learning

Dxfactor

Principal Data Scientist

Jul 2019 – Oct 2022 · 3 yrs 3 mos

  • Building:
  • Delivering end to end Data Science and Data Analytics project development and deployment
  • Architecting Data Science project Architecture to integrate AI/ML service with prouduct/ cross teams
  • Mentoring Junior Data Scientist and Data Engineers
  • Experienced with Cloud ecosystems - GCP, AWS and Azure
  • Data Lake Google-Bigquery, Cloud Storage,Vertex AI Platform, Redshift, S3,
  • Kubeflow based scalable Data Science Pipeline development and deployment
  • Data Science Pipelines for Various Data Science Use cases
  • Data Analytics projects life cycle- Data Clean, Transform, Analyze, Model, Score and Interpret the results.
  • Explainable AI

Eclerx

Associate Process Manager | Senior Data Scientist

Jul 2018 – Jul 2019 · 1 yr · Mumbai Area, India

  • Extracting risk attributes from variety of PDF invoices and SOW with Deep learning - Bi-LSTM, RNN based NER.
  • Extracting field attributes from financial image documents
  • Customer segmentation based on paying pattern and type of services used.
  • Payment delay prediction

Shopsense fynd

Senior Data Scientist

Nov 2015 – Jun 2018 · 2 yrs 7 mos · Mumbai Area, India

  • Implemented Hyper Personalized feed based on user demographics & scoring via user's behavior and past historical transactions over Mobile Apps and Website.
  • Developed Product Recommender system to server millions of users per day
  • Built Scalable Data Pipeline to implement and serve various Data Engineering and Data Science solutions in near real time with Apache Spark, Google Dataproc and Google BigQuery
  • Defined data requirements based on the business use case, prepared data tracking strategies, get it implemented by Frontend teams and implemented the backend solution i.e. Automated validation for data attributes which are being tracked and used for various different business operations.
  • Automated AI App deployment processes via Ansible, Terraform, Packer, Jenkins and AWS AMI.

Eclinicalworks

Data Scientist

Feb 2014 – Oct 2015 · 1 yr 8 mos · Greater Ahmedabad Area

  • Work Area :
  • Designing Data Analytics Architecture,
  • Implementing Data ETL processes,
  • Applying Predictive Analytics by Machine Learning techniques,
  • Parallel Distributed computing
  • Data Visualization - R - Shiny
  • Tools/Tech - R, Hadoop, RHadoop, H2o, Python, Java
  • Specialties : Machine Learning, R, Hadoop, Spark, Python

Enjay it solutions ltd.

Software Engineer

Sep 2013 – Feb 2014 · 5 mos · Vapi

  • BTI Product development
  • Building FAB model for product
  • Understanding product demand
  • Analyzing user reponse for Enjay products

Tatvic

2 roles

Data Modeling Engineer

May 2012 – May 2013 · 1 yr · Ahmedabad

  • Designing the problem of predictive analysis for Web properties
  • Prepare Data requirement based on the problem
  • Building Application/Algorithms to extract/gather the data sets from Google Analytics and R
  • Performing Data cleaning operations via Data cleaning tools based on problem and type of the data
  • Build/test a predictive model on the historical data
  • Handling the BigData with Amazon AWS, Hadoop
  • Performing BigData Analytics with Hadoop and Mahout
  • Specialties: R, Hadoop, Java, Mahout and Machine Learning

Trainee

Jul 2011 – May 2012 · 10 mos · Ahmedabad

  • Recommendation engine development
  • ML algo development with Mahout and Hadoop
  • Google Prediction API based Application development
  • Technologies - Hadoop, Mahout, Hive and Google Prediction API

Education

H.G. College Of Engineering

Bachelor of Engineering (B.E.) — Information Technology

Jan 2008 – Jan 2012

coursera

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