Shrashti Singhal — CEO

Experienced Data Scientist Manager with over 12 years of expertise in leveraging advanced AI technologies to drive transformative solutions. Passionate about leveraging cutting-edge technologies, including Generative AI, finetuning LLMs, and RAG, to solve complex data challenges and drive innovation. Open to exploring opportunities in AI, Machine Learning, and Data Science to create impactful solutions for today's dynamic world. Specializing in: Computer Vision: Deep learning architectures for Image Recognition, Object Detection, Object Tracking, Semantic Segmentation. Expertise in applications across diverse domains including biomedical imaging. Natural Language Processing (NLP): Transformer-based models, BERT, GPT, Text Classification, Named Entity Recognition (NER), Question Answering systems. Skilled in deploying solutions for Text-to-Queries (SQL/CQL), Voice-to-Text, and Conversational AI. Experienced in fine-tuning Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) for enhanced performance in text generation tasks. Deep Learning: Advanced techniques including Generative Adversarial Networks (GANs), Reinforcement Learning, and attention mechanisms in LSTMs and Transformers. Applied to complex datasets in IoT, healthcare, and finance. Generative AI: Experience in creating and deploying generative models for text, images, and audio. Proficient in state-of-the-art frameworks and techniques such as OpenAI's GPT, StyleGAN, and Variational Autoencoders (VAEs). Machine Learning: Ensemble methods, XGBoost, AutoML, Explainable AI, and model interpretability techniques. Experience in scalable solutions using cloud-based services like AWS SageMaker, Azure ML, and Google Cloud AI Platform. Cloud/Big Data Technologies: Proficient in Apache Kafka, Kubernetes, Docker for containerized deployments. Hands-on experience with Big Data frameworks like Apache Spark, Hadoop ecosystem, and streaming analytics with Apache Flink. Data Visualization: Expertise in interactive visualizations using Python libraries (Plotly, Dash) and JavaScript frameworks (D3.js). Skilled in building intuitive dashboards with Power BI, Tableau, and custom web-based tools.

Stackforce AI infers this person is a Cybersecurity and Healthcare Data Science expert with a focus on AI-driven solutions.

Location: Santa Fe, New Mexico, United States

Experience: 11 yrs 9 mos

Skills

Generative Ai
Natural Language Processing (nlp)
Data Science
Machine Learning
Software Development

Career Highlights

Over 12 years of experience in AI and Data Science.
Expertise in Generative AI and fine-tuning LLMs.
Proven track record in cybersecurity and healthcare solutions.

Work Experience

Culinda Inc.,

Chief Data Scientist (4 yrs 11 mos)

Towards Data Science

Technical Writer (4 yrs 10 mos)

NeedyData

Founder & Data Scientist (5 yrs 7 mos)

L&T Technology Services Limited

Senior Machine Learning Engineer (9 mos)

Software Engineer (4 yrs 9 mos)

Education

Master in Computer Science at University of Illinois Urbana-Champaign

Bachelor of Technology (B.Tech.) at Amity University

Shrashti Singhal

CEO

Santa Fe, New Mexico, United States11 yrs 9 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Over 12 years of experience in AI and Data Science.
Expertise in Generative AI and fine-tuning LLMs.
Proven track record in cybersecurity and healthcare solutions.

Stackforce AI infers this person is a Cybersecurity and Healthcare Data Science expert with a focus on AI-driven solutions.

Contact

Skills

Core Skills

Generative AiNatural Language Processing (nlp)Data ScienceMachine LearningSoftware Development

Other Skills

ScalaDaskData VisualizationPredictive ModelingPythonTensorFlowSQLPython (Programming Language)Long Short-term Memory (LSTM)Auto encodersFalconLoraqLoraMonte Carlo SimulationSTRIDE

About

Experience

11 yrs 9 mos

Total Experience

5 yrs 5 mos

Average Tenure

4 yrs 11 mos

Current Experience

Culinda inc.,

Chief Data Scientist

Jun 2021 – Present · 4 yrs 11 mos · United States · Remote

Strategic AI leader with 12+ years of experience delivering production-grade ML/AI solutions across cybersecurity, healthcare, and cloud-native environments. At Culinda, I lead the AI charter—designing and deploying advanced solutions that proactively identify, prioritize, and mitigate vulnerabilities across hospital systems and critical infrastructure.
Key Achievements & Responsibilities:
🔹Architected and launched secure, scalable GenAI systems, including RAG pipelines, LLM-based remediation agents, and real-time threat scoring engines integrated with EDR, SIEM (e.g., Splunk), and threat intelligence platforms.
🔹Spearheaded the development of Night Hawk and ThreatPrism, enterprise-grade AI platforms used for intelligent querying, SOC automation, and dynamic cyber risk assessment.
🔹Led LLM fine-tuning and deployment, including Q-LoRA experiments on Falcon and LLaMA models, coupled with vector database integration (Weaviate, FAISS).
🔹Enabled explainable AI governance and compliance in HIPAA and ISO 27001-regulated environments, driving adoption across 50+ hospital networks.
🔹Collaborated as an academic advisor to U.S. research institutions on AI-based medical imaging diagnostics and risk prediction.
🔹Built and mentored a cross-functional team of engineers, analysts, and product managers to deliver AI capabilities aligned with business KPIs and stakeholder objectives.
🔹Delivered C-suite facing insights and dashboards, translating complex AI systems into actionable strategic inputs.

ScalaDaskGenerative AINatural Language Processing (NLP)

Towards data science

Technical Writer

Aug 2020 – Jun 2025 · 4 yrs 10 mos · United States

I write as a part-time author in an online publication, Towards Data Science. My articles cover various topics related to data science, such as machine learning, AI, programming, Python, PyTorch, NumPy, Pandas, Matplotlib, SciKit-Learn, Jupyter Notebooks, Google Colab, Kaggle, and more.

Machine LearningData VisualizationData Science

Needydata

Founder & Data Scientist

Nov 2019 – Jun 2025 · 5 yrs 7 mos · Delhi, India

AI based startup to democratize Data Science.

Predictive ModelingMachine LearningData Science

L&t technology services limited

2 roles

Senior Machine Learning Engineer

Promoted

Nov 2017 – Aug 2018 · 9 mos

Project 1: Telecommunication error data classification and mailing to specific error handling team
Data Ingestion (Python & AWS)
Designed data ingestion pipeline to consolidate data coming from different rest APIs(Telecommunication Devices) into AWS storage
Data Wrangling (Python, SQL, draw.io, Open Refine)
Designed Database Schema, Wrangled Data and developed the Database
Data Classification (Python, Tensor Flow, decision Tree)
Developed a model to classify the data with 97% accuracy. Implemented the model on the Client's cloud.
Mailing (Microsoft Outlook VBA, Python on Cloud)
Developed a code to mail each identified data to a specific team to analyze the respective issue.
Impact: The telecom issues were sent by 2000 test engineers through their testing devices every day. There was a Back office team of 20 people to do the segregation of these issues and direct them to respective bug analyzing teams. Saved 3200 person-hours per month for the Client.
Automate the Organisational wide all the manual work for the client by developing stand-alone tools in Java, Python, and VBA, which help employees get rid of manual tasks.
Integrate various independent tools to reduce human intervention in multiple tasks and smooth the organization's flow through automation.
Developed a website using a LAMP server to keep records from various independent sites and employee-managed excel files. This website directly takes digital data from different portals and merges it so that no human intervention is involved.
For more projects, visit my portfolio at https://Shrashti.com

Predictive ModelingMachine LearningData Science

Software Engineer

May 2013 – Feb 2018 · 4 yrs 9 mos

Designed and developed software using Python; the software was implemented at client organizations to track all the employees' work progress. The tool is a time tracker which monitors the productive time spent by an employee in a day. It generates the report and uploads it to a portal to track the performances at the end of the month.
Developed a stand-alone tool using Python and VBA to export data from the client portal, allows custom querying of data, and generates reports. These reports are integrated with another independent tool that uses this insight to creates invoices and send e-mails to the designed people.
Worked in Windchill PLM domain as Advanced Java and swing Developer. I modeled and developed software that helps in extracting data when the PLM server is down. The tool's UI allows users to create a custom query to obtain from the correct product directory. The software takes care of the authorization and access level given to various users.

Machine LearningPython (Programming Language)Software Development