Phone Number
+91 88667 75000
Machine Learning
I build intelligent systems that solve complex problems. With expertise in machine learning, deep learning, and AI, I transform data into actionable insights and innovative solutions.
0
ML Projects
0
Years Experience
0
Publications
Machine Learning
Data Science
AI Research
About
Passionate Machine Learning Engineer with expertise in AI, Deep Learning, and Data Science
Transforming data into intelligent solutions through machine learning and AI.
Hi, I'm Darshil Shah - Machine Learning Engineer
I am a Machine Learning Engineer with 5+ years of experience building production AI systems. My expertise spans machine learning, deep learning, Generative AI, NLP, and computer vision, with hands-on experience taking solutions from experimentation to deployment.
Machine Learning
Expert in ML algorithms, model development, and deployment
Deep Learning
Proficient in neural networks, CNNs, LLMs, and transformers
Data Science
Skilled in data analysis, visualization, and statistical modeling
Feb 2026
Currently working at Aviso AI as Sr Data Scientist
June 2025
Joined VISA Inc. as Data Scientist.
Jan 2023
Joined PayU as Data Scientist, leading ML initiatives
Sep 2020
Started Masters (MS) in IT with Data Science specialization
June 2019
Started career as Image Processing Engineer at Jekson Vision
🤖
Coffee fueled AI enthusiast who believes in technology
Machine Learning
Core
Python, SQL, Scikit-learn, Pandas, PySpark
MethodsClassification, Ranking, Predictive Modeling
Deep Learning
Frameworks
PyTorch, TensorFlow, HuggingFace
ApplicationsComputer Vision, NLP, Transformers, Fine-tuning
Generative AI & LLMs
Orchestration
LangChain, LangGraph
LLM PlatformsOpenAI, Gemini, Claude, Amazon Bedrock
TechniquesRAG, LLM-as-a-Judge, Prompt Engineering
Cloud & MLOps
AWS
EC2, S3, SageMaker, ECR
DeploymentFastAPI, Docker, MLflow
LLM ProductionObservability & Tracing
Professional Expertise
Data Scientist specializing in Machine Learning, Generative AI and LLM systems, with experience building production solutions across NLP, Computer Vision and end-to-end ML deployment.
5+
Years Experience
20+
ML / AI Projects
4
Publications
Expertise Areas
Generative AI
LLM Systems
Machine Learning
NLP
Computer Vision
Resume
My professional journey and academic background in machine learning and data science
Professional Journey
Building production ML and GenAI systems across payments, enterprise analytics, and conversation intelligence.
Sr Data Scientist
Aviso AI
Building production GenAI systems for conversation intelligence, including context-aware summarization and custom LLM-powered trackers.
- Designed an 11-node LangGraph pipeline for context-aware call classification, routing, summarization, and insights across sales and post-sale workflows
- Built Smart Trackers using human-in-the-loop few-shot LLM classification with semantic retrieval from historical conversations
- Deployed LLM services using FastAPI, AWS, ECR, and TrueFoundry with production observability and tracing
Data Scientist
VISA Inc.
Built machine learning and GenAI solutions for customer profiling, segmentation, and large-scale entity matching.
- Built a LangChain-powered Customer 360 Dashboard using RAG and OpenAI GPT-4 for natural-language customer profiling and segmentation
- Developed scalable Name Matching over billions of vendor records using fine-tuned Sentence-BERT with triplet loss and fuzzy matching
Data Scientist
PayU Payments Pvt Ltd
Developed and deployed machine learning solutions for lead prioritization, income estimation, propensity modeling, and address standardization.
- Built CatBoost models achieving 3.7x lift for lead prioritization across online marketplaces and gaming
- Developed an SMS-based Income Estimation solution using BERT NER, improving accuracy by 2.8% and coverage by 35%
- Built Propensity-to-Purchase models achieving 92.7% AUC and 65 KS across industries
- Developed multilingual Indian Address Standardization using IndicBART with PEFT/LoRA for unstructured and noisy addresses
Research Associate
MINRO Lab - IIIT Bangalore
Conducted research in machine learning and deep learning as part of the MS by Research program, resulting in peer-reviewed publications.
- Worked on deep learning, EEG analysis, computer vision, and multimodal research problems
- Published research in IEEE, ACM, and Frontiers venues
Image Processing Engineer
Jekson Vision Pvt. Ltd
Optimized computer vision systems for industrial inspection using deep learning and GPU acceleration.
- Optimized Tablet Inspection System increasing inspection speed by 39%
- Improved inspection accuracy by 7% using Deep Learning algorithms
Academic Excellence
Strong foundation in computer science and data science with research publications.
Master of Science in IT
2020 - 2023International Institute of Information Technology, Bangalore
Specialization in Data Science, Machine Learning, and Deep Learning. CGPA: 3.78/4.0
Bachelor of Technology
2015 - 2019Institute of Technology, Nirma University
Instrumentation and Control Engineering. CGPA: 3.78/4.0
Projects
Showcasing innovative machine learning and AI projects that solve real-world problems
GenAI
Context-Aware Summarization
Production conversation-intelligence system using an 11-node LangGraph pipeline to classify calls, route specialized LLM workflows, and generate context-aware summaries and insights.
LangGraph
LangChain
LLMs
AWS
11
Graph Nodes
4
Call Types
LLM
Smart Trackers
Human-in-the-loop few-shot LLM framework that learns customer-defined conversation signals from annotated examples and applies tracker-specific inference to new meetings.
LLMs
AstraDB
FastAPI
AWS S3
Few-shot
Learning
HITL
Feedback
LLM & RAG
Customer 360 Dashboard with RAG
Intelligent customer analytics dashboard using RAG and LLMs to enable natural-language customer profiling, segmentation, and insight generation.
LangChain
GPT-4
RAG
Vector DB
1B+
Records
RAG
Architecture
Publications
Research publications in machine learning, computer vision, and signal processing
Deep Learning based EEG Analysis using Video Analytics
Accepted to 29th IEEE International Conference on Image Processing (ICIP), 2022. Research on spatio-temporal EEG analysis using deep learning techniques.
Multi-dimensional Analyses (1D, 2D and 3D) of EEG using Traditional Methods and Deep Learning
Accepted to Frontiers in Signal Processing, Biomedical Signal Processing, 2022. Comprehensive analysis of EEG data across multiple dimensions.
Analysis of EEG for Parkinson's Disease Detection
Accepted to 14th IEEE International Conference on Signal Processing and Communications (SPCOM), 2022. Machine learning approach for neurological disorder detection.
VCA-Net: Visual Creativity Analysis using Deep Neural Network
Accepted to 13th ACM Indian Conference on Computer Vision, Graphics & Image Processing (ICVGIP), 2022. Deep learning for visual creativity assessment.
Contact
Let's connect and discuss how we can collaborate on innovative AI and machine learning projects
Contact Info
Feel free to reach out for collaborations, opportunities, or to discuss machine learning and AI projects.
Email Address
shahdarshil97@gmail.com
Location
Bangalore, Karnataka
India
Get In Touch
I'm always interested in discussing new opportunities, collaborations, or answering questions about machine learning and AI.