Shashvat Singham

AI Researcher

Kanpur, Uttar Pradesh, India5 yrs 5 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in building production-grade AI systems.
Strong foundation in quantitative modeling and optimization.
Proven track record in delivering scalable AI solutions.

Stackforce AI infers this person is a SaaS-focused AI engineer with expertise in data engineering and machine learning.

Contact

shashvat.singham@gmail.com LinkedIn

Skills

Core Skills

Machine LearningData EngineeringGenerative AiData AnalysisFull-stack Development

Other Skills

DatabricksPythonSQLDistributed SystemsApplied AILLMsRAG PipelinesLangGraphVector DatabasesAWSFastAPINLPAI AgentsPrompt EngineeringAWS SageMaker

About

I’m a Forward Deployed AI Engineer at SaxeCap and an IIT Kanpur graduate, with prior experience at DeepInsights (Harvard Business School) and EXL, building production-grade AI systems for real-world impact. My work lies at the intersection of GenAI, data engineering, and quantitative modeling—designing scalable, high-performance pipelines that transform complex, multi-source data into structured, decision-ready intelligence. I specialize in LLM-driven systems, agentic architectures, and multimodal pipelines, with end-to-end ownership from system design through deployment. With a strong quantitative foundation, I approach AI through optimization, statistical rigor, and algorithmic thinking, enabling robust solutions in high-stakes, data-intensive environments. I have led the development of agentic AI systems, MCP-based integrations, and large-scale ML pipelines across cloud infrastructure, delivering measurable gains in accuracy, efficiency, and scalability.

Experience

5 yrs 5 mos

Total Experience

1 yr 2 mos

Average Tenure

2 mos

Current Experience

Saxecap

Senior Forward Deployed AI Engineer

Apr 2026 – Present · 2 mos · San Francisco, California, United States · Remote

Serving as a Senior Forward Deployed AI Engineer at SaxeCap, architecting and delivering production-grade AI systems that seamlessly integrate with real-world business workflows.
Engineering scalable data and intelligence pipelines on Databricks, transforming complex, multi-source data into structured, high-value insights. Leveraging machine learning, advanced data modeling, and intelligent matching techniques to address nuanced, high-impact problems.
Owning the full lifecycle of AI solutions—from data foundation and system design to model integration and deployment—while ensuring robustness, scalability, and operational excellence.
Partnering closely with cross-functional stakeholders to translate evolving business needs into refined, AI-powered capabilities.
Tech: Databricks, Python, SQL, Machine Learning, Distributed Systems, Applied AI

DatabricksPythonSQLMachine LearningDistributed SystemsApplied AI+1

Exl

2 roles

AI Research Engineer

Promoted

Feb 2025 – Apr 2026 · 1 yr 2 mos

Worked in the InnovationX Team at the intersection of Generative AI, data engineering, and agentic automation to build enterprise-grade AI solutions and proof-of-concepts (POCs). Collaborated directly with EXL’s Chief Digital Officer, Anand Logani, on strategic AI initiatives under EXL Data.ai — a first-of-its-kind, agentic AI-native data solution designed to tackle one of the biggest barriers to AI adoption: fragmented, unstructured, and non-AI-ready enterprise data. Contributed to innovative AI-driven solutions and scalable GenAI prototypes showcased at enterprise scale, including EXL Data.ai campaigns featured in Times Square. Designed and developed LLM-powered applications, RAG pipelines, and multi-agent workflows using LangGraph and vector databases for intelligent information retrieval, workflow automation, and knowledge extraction. Built scalable prototypes and production-grade AI systems focused on real-world business integration and applied AI research.
Tech Stack: Python, LLMs, RAG Pipelines, LangGraph, Vector Databases, Generative AI, AWS, FastAPI, NLP, Machine Learning, AI Agents, Data Engineering, Prompt Engineering

PythonLLMsRAG PipelinesLangGraphVector DatabasesGenerative AI+7

Senior Data Scientist

Jun 2024 – Feb 2025 · 8 mos

Worked in the Xtracto.AI team on AI-powered document intelligence and data analysis solutions using AWS SageMaker, Python, and OCR technologies like PyTesseract. Built and optimized machine learning pipelines for extracting, processing, and analyzing structured and unstructured data from large-scale enterprise documents. Collaborated with cross-functional teams to develop scalable data workflows, improve model accuracy, and support business insights through automation and analytics.
Tech Stack: AWS SageMaker, Python, PyTesseract, OCR, NLP, Pandas, Machine Learning, Data Analysis, SQL, LLMs, RAG Pipelines

AWS SageMakerPythonPyTesseractOCRNLPPandas+5

Soul ai

Prompt Engineer

May 2024 – Aug 2024 · 3 mos · New York, United States · Remote

Deepinsight

Software Engineer

May 2023 – Jun 2024 · 1 yr 1 mo · Massachusetts, United States · Remote

Built and deployed scalable AI-powered web applications and backend systems with a focus on automation, cloud infrastructure, and ML-integrated workflows. Developed full-stack applications using Django, React.js, and Next.js, along with secure authentication systems using Firebase OAuth.
Worked on intelligent meeting automation solutions using Zoom APIs, Google Meet integrations, OAuth 2.0, Webhooks, and meeting bots for real-time event handling, meeting synchronization, notifications, and workflow automation. Built REST APIs, backend services, and cloud-integrated pipelines to support production-grade AI applications and scalable enterprise workflows.
Tech Stack: Python, Django, React.js, Next.js, AWS, Zoom APIs, Google Meet APIs, OAuth 2.0, Webhooks, Firebase Authentication, REST APIs, SQL, Machine Learning, JavaScript, Backend Development

PythonDjangoReact.jsNext.jsAWSZoom APIs+10