ANKIT SHARMA
Location unknown · 11.0 yrs experience (stated)
11 years of industry experience in Data Science with deep expertise in Generative AI, NLP, Reinforcement Learning, and traditional Machine Learning. Demonstrates strong leadership in machine learning initiatives, including technical mentoring and team enablement. Extensive experience supporting presales activities, solution demos, and client-facing technical engagements. Highly proficient in data exploration, feature engineering, model fine-tuning, model deployment, and building end-to-end AI solutions.
Needs review · 2
A start date couldn't be parsed
experience[0].start_date — not stated
The model reported low confidence
experience — the model was unsure about: start_date, end_date, company
Many skills couldn't be matched to the taxonomy
skills — 33 of 52 skills are not in the taxonomy yet (63%) — they are stored and searchable under their own names; see the unresolved-skill queue
Low extraction confidence
experience[0].confidence — 0.4 < 0.7
Experience
Projects
Technical Lead
- Designed and implemented an N-HiTS time series forecasting model at client-type and product-type levels for a leading global investment and risk advisory firm, reducing MAPE to below 30% for over half of the segments.
Technical Lead
- Developed a TLKA agent and deployed it on Vertex AI Agent Builder, leveraging the full GCP ecosystem, including Cloud Storage, Discovery Engine, and Google ADK. Built both one-time and incremental data pipelines for agent data ingestion and created structured metadata to reduce hallucinations and improve agent interpretability.
Technical Lead
- Implemented end-to-end MLOps pipelines on Azure for a patient no-show prediction use case using Azure DevOps and Azure Machine Learning Studio. Integrated data versioning, MLflow-based model versioning and experiment tracking, data and model drift monitoring with Evidently, fairness checks, batch endpoints with autoscaling, and automated model retraining.
Technical Lead
- Conceived and led end-to-end development of a scalable GenAI platform.
- Defined AI strategy to accelerate presales and showcase AI/ML capabilities.
- Reduced solutioning time and improved visibility of AI leadership.
Environment: Python, FastAPI, Azure Storage, Cosmos DB, GitHub Actions, APIM, Entra ID.
Technical Lead
- Designed a multi-agent AI system to extract summaries and sensitive client/firm data.
- Automated PML review recommendations → reduced manual review time by 60%.
- Led secure production deployment using Azure + Prompt Flow.
Technical Lead
- Built multi-agent system for email classification, tracking extraction, and auto responses.
- Streamlined shipment communication and reduced processing time.
Environment: Google GenAI, LangChain, LangGraph, Composio, Playwright, GCP, Docker.
Technical Lead
- Led predictive modeling initiative for maintenance optimization.
- Mentored team members and ensured timely delivery.
Environment: Microsoft Fabric, ML tools.
Technical Lead
- Applied advanced RAG techniques for automotive manuals.
- Improved contextual search accuracy and Q&A relevance.
Senior Developer
- Developed and deployed load fraud detection, entity resolution, and DOB confidence scoring models.
- Delivered $1M+ business impact through enhanced risk detection and operational efficiency.
Senior Developer
- Designed a multi-agent Generative AI-powered Text-to-SQL framework for querying Ledger databases.
- Enabled faster and more accurate access to complex financial datasets across business units.
Senior Data Scientist
- Engineered a personalized recommendation engine for a leading fashion retail client.
- Enhanced customer engagement and improved conversion rates through tailored product suggestions.
Senior Data Scientist
- Implemented an anomaly detection algorithm using autoencoders to identify early signs of equipment failure.
- Reduced downtime and maintenance costs by enabling proactive issue detection.
Skills
Education
None on file.
Certifications