Ankit Malviya
Director AI | R&D @ Tiger Analytics | Leadership & Innovation | Multiple Patents, Research Papers | PMP®| CSM®| Cert. Data & AI Architect | Cert. GenAI Architect | Cert. Deep Learning Specialist
- Role
- Director Ai Leadership & Innovation at Tiger Analytics
- Location
- Gurugram, HR, IN
- LinkedIn followers
- 500 followers
About Ankit Malviya
Professional Summary -# Highly motivated professional with strong academic background and leadership quality.# Having exposure of Core Research & Development, Pre-Sales, Post-Sales.# Currently working at EXL Analytics as Senior R&D Manager. Providing core research & development, technical skills and consulting services to accelerate the integration of AI, Data Science and Cloud Computing.# Having Experienced in Generative AI, Deep Learning, GPU, LLMs, HPC, Data Science, Big Data, Cognitive and Cloud Computing.# Has experience of conducting Training, Enablements and Tech Talks for Industry & Universities.# Proficient in Client Management.Competencies -* Certified Generative AI Solution Architect* Project Management Professional (PMP)* Certified Scrum Master* Deep Learning Specialization* Certified for Tensorflow, PyTorch and HPC* Have Experience of working on Nvidia Clara SDK, DataRobot, Seldon Core, Apache Airflow * Certified Data Architect* Big Data Certifications from university of California San Diego* Data Science Certifications from John Hopkins University* Wiley Certified Big Data Analyst (WCBDA), R Programming & Hadoop* IBM certified professional in many technologies Hadoop, MapReduce, Hive, Pig, Spark, Solr* Developed algorithms for almost all kind of datasets for instance Numerical data, Text data, Web data, Image Data, High Dimensional data, class imbalanced data and Big data.Specialties -+ AI+ LLM Fine-tuning, Autonomous Multi Agents, Knowledge Graphs, RAGs+NLP, Speech to Text Translation, Summarization,+ Continual Learning, Representation Learning, Unsupervised Learning, Self Supervised Learning+ Medical Imaging+ Deep Learning+ GPU Programing, CUDA+ Cognitive Computing+ Machine Learning+ Hybrid Cloud+ SAAS, PASS+ Big Data Tools (Hadoop, Spark, HBase, Hive, Pig, Kafka, Flume, Solr, Spark SQL, Spark Streaming, Flink, Splunk)+ Data Analytics Tools (R, Python, Matlab, Knime, SPSS)+ Predictive Modeling techniques+ Web Mining (Crawlers Creation, Semantic Web Mining.)+ Statistical Analysis+ Visualization Tools (Graffana,Tableau, D3, RF-Flow)+ SQL and NoSQL+ Text Analytics (Sentiment analysis, Text extraction. Text Summarization)+ Graph Analytics (Neo4j, GraphX, Giraph)+ Algorithm Development+ Image Processing+ Pre-Sales, Tech-Sales,+ Technical Architecture+ Enterprise Resource Planning (ERP)+ Enterprise Data Warehouse(EDW)
Experience
Director Ai Leadership & Innovation
Mar 2025 — Present
Team Leadership & Strategy :# Lead and mentor a high-performing team of applied researchers and data scientists.# Foster a collaborative, innovative culture while aligning team goals with company strategy.# Provide career development, technical guidance, and thought leadership.$ AI Research & Innovation :# Drive cutting-edge R&D in Generative AI, Autonomous agents, LLMs, and advanced analytics.# Stay ahead of emerging trends to keep the team at the forefront of AI innovation.# Translate state-of-the-art research into scalable business applications.$ Project & Program Management :# Oversee end-to-end execution of AI initiatives—from problem scoping to deployment.# Ensure timely, high-impact delivery aligned with business objectives and stakeholder needs.$ Technical Leadership :# Guide development and deployment of ML, NLP, and GenAI Multimodal solutions across diverse use cases.# Apply techniques like Optimization, Continual learning, LoRA, PEFT, and fine-tuning to customize LLMs for business value.# Ensure model accuracy, Explainability, and Observability.$ Cross-Functional Collaboration :# Partner with Engineering, Product, and Consulting teams to embed AI into enterprise workflows.# Engage clients to understand needs, deliver tailored solutions, and drive AI transformation.# Communicate complex AI concepts clearly to non-technical stakeholders.$ Business Impact & Insight :# Leverage data science and machine learning to solve real-world challenges.# Uncover actionable insights from large datasets to fuel decision-making and innovation.# Champion responsible AI use and measurable business outcomes.
Education
Jawaharlal Nehru University
Master of Technology (MTech), Computer Science
Indian Institute of Technology, Indore
Doctor of Philosophy - PhD, Artificial Intelligence
Devi Ahilya Vishwavidyalaya
Bachelor of Engineering (BE), Computer Science
Skills
- Drift
- Machine Learning
- Mdx
- Big Data Analytics
- Splunk
- Tableau
- Matlab
- C
- Linux
- Apache Spark
- Erp
- Html
- Oracle
- Data Mining
- Java Enterprise Edition
- Management
- Neo4j
- Mathematical Optimization
- Xml
- Tmg
- Apache Pig
- Flume
- C++
- Research and Development (R&D)
- Cassandra
- Hql
- Streams
- Hive
- Hadoop
- Xml Schema
- Web Mining
- Hbase
- Deep Learning
- Spss
- R
- Soap
- Soa
- Java
- Apache Flink
- Mapreduce
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