Vasishta Sharma Gudi — CEO
Currently leading AI, ML, Data Sciences and Engineering teams (20+) at Upstox to enhance product experience and drive customer loyalty. Instrumental in building the firm’s top-line strategy and transforming operations with data products. • Proven track record in team, account, and stakeholder management across geographies and functions. • Proficient in managing the data and associated software engineering value chain. • Adept at operating at the intersection of AI, Product, and Engineering to optimise for scale and precision. • Skilled in conceptualising, architecting, and building large-scale AI/ML systems to support user-facing engineering services on the cloud (AWS & MS Azure). Started my career as a Full-Stack Data Scientist, developing hands-on expertise in ML, Statistics, Advanced Analytics, and Strategy. As a seasoned data leader, I have led the development of large-scale data infrastructures and built machine learning capabilities across the BFSI/FinTech, Healthcare, Retail, E-commerce, and Insurance domains. Ongoing personal research includes: 1.Building high-performance LLM Ops platform on the cloud to support custom-model fine-tuning and orchestrate agentic RAG at scale. 2. Knowledge engineering to support semantic, symbolic and graph retrieval systems for improved reasoning targeting high faithfulness and contextual relevance. Key Competencies: ML : Regression, Tree-based Models, Bayesian Learning, Ensemble Learning, Attribution & Causal Inferencing, Deep Learning, Neural Network Search, High-Dimensionality Engineering (PCA/FCA), Clustering, Representation Learning (AE, VAEs), Graph Neural Networks, Computer Vision , NLP, Transformers, MLE & Bayesian Neural-nets , AutoRegressive Generation RL : Multi-armed Bandit, Markov Processes,Temporal Learning LLM Ops : OpenAI/Llama, RAG, Fine-Tuning, LangChain, Ollama ,LangGraph,Evaluation, Mathematics: Linear Algebra, Matrix Decompositions, Vector Spaces, Calculus, Optimisation Statistics: Probability, Inferential Statistics, Queue Theory, Econometrics Distributed ML Ops: PyTorch, TensorFlow, Kafka, Sagemaker Analytics : Acquisition, Activation, Retention, Re-activation, Product Adoption, Personalised Marketing & Effectiveness, NPS & CSAT Drivers,Loyalty & Promotions, Pricing, FP&A Business Intelligence: Tableau, Quicksight, Excel Programming: SQL, R ,Python Big-Data Processing: Spark, EMR, Airflow, Glue Data-lakes : Hudi, Iceberg Databases: MySQL, PostgreSQL, Redshift, DynamoDB, MongoDB, Redis Engineering : Micro-services, Docker, Kubernetes, CI/CD Cloud : AWS, Azure
Stackforce AI infers this person is a Fintech AI/ML leader with extensive experience in data engineering and product innovation.
Location: Bengaluru, Karnataka, India
Experience: 4 yrs 5 mos
Skills
- Ai/ml Engineering
- Data Engineering
- Data Science
- Ai Engineering
Career Highlights
- Led AI and ML teams to enhance product experience.
- Developed large-scale AI systems for diverse industries.
- Expert in operationalising advanced data products.
Work Experience
Asper.ai
Director of Artificial Intelligence (3 mos)
Upstox
Principal - AI & Data Sciences (7 mos)
Manager, Data Sciences & AI Engineering (3 yrs 1 mo)
Data Science Lead (6 mos)
Education
M Tech at Birla Institute of Technology and Science, Pilani
Post-Graduate Program at Indian Institute of Technology, Roorkee
TEP at Indian School of Business
Bachelor of Technology (B.Tech) at Kakatiya Institute of Technology & Science, Yerragattu Hillocks, Bheemaram, Hasanparthy, Warangal
