Shivika Sharma

Consultant

Delhi, India0 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in AI and Machine Learning applications.
Strong background in quantitative research and finance.
Passionate about responsible AI for real-world impacts.

Stackforce AI infers this person is a skilled professional in AI-driven research and data science.

Contact

Skills

Core Skills

Ai AgentsProduct DevelopmentQuantitative ResearchQuantitative FinanceNatural Language Processing (nlp)Machine LearningKubernetesData ScienceDeep Learning

Other Skills

AI4CodeApache SparkDaskKedroLeadershipPostgreSQLPublic SpeakingRetrieval-Augmented Generation (RAG)

Experience

Trexquant investment lp

Global Alpha Researcher

Aug 2024 – Sep 2024 · 1 mo

Designed and implemented ML models for predicting quarterly Earnings, experimenting across stock universes with strategies such as Bucketing Stocks and Alphas, feature extraction over financial indicators and model architectures.

Quantitative ResearchQuantitative Finance

Microsoft

Research Fellow

Jul 2024 – Present · 1 yr 8 mos · Bengaluru, Karnataka, India · On-site

Working for the Future of Scalable Software Engineering (FoSSE) mission
Automating code migration reliably using multi-agentic systems while simultaneously learning its optimization through AI Agents

AI AgentsAI4CodeProduct DevelopmentRetrieval-Augmented Generation (RAG)

Indian institute of science (iisc)

Data Science Intern

Aug 2023 – Dec 2023 · 4 mos · Bengaluru, Karnataka, India · On-site

Deploying Analytic Pipelines using Kedro for target domains (Transit management system, etc.) on MLOps platforms like Kubernetes
Enhancing traffic anomaly detection, predicting time of vehicle arrival using Graph Convolutional Neural Networks, and Gated Recurrent Units, while increasing precision through Kalman Filters and real-time data.

KubernetesDaskPostgreSQLKedroDeep LearningApache Spark+1

Indian institute of technology (iit) goa

Summer Research Intern

Jun 2023 – Jul 2023 · 1 mo

Involved in cancer research conducted by Dr. Clint George, Assistant Professor in the School of Mathematics and Computer Science at IIT Goa, aimed at identifying critical genes that contribute to the growth of varying cancer types.
Implemented deep learning techniques, including Stochastic Gates and Hard Concrete, to enable effective feature selection and address data scarcity in cancer research.

Deep LearningData Science

University of tartu

Research Intern

Mar 2023 – Jul 2024 · 1 yr 4 mos

Conducting research to improve Stance Detection in tweets utilizing cutting-edge NLP techniques and social network analysis.
Developed explainable ML models through target-oriented feature engineering including biterm topic modelling.
Experimented with Large Language Models encompassing prompt engineering, knowledge-enhanced masked language modelling, contrastive learning, few-shot learning, and knowledge distillation using BERT.

Machine LearningNatural Language Processing (NLP)Deep Learning

India urban data exchange (iudx)

Summer Intern

Feb 2022 – Jul 2022 · 5 mos · Remote

Contributed to the Smart City Mission, an initiative by the Ministry of Housing and Urban Affairs (MoHUA) to enhance city administration efficiency.
Performed statistical analyses to create visual representations of relative traffic hotspots for buses in Surat city, displaying the data on a geospatial temporal map using raw data provided by MoHUA.
Integrated Geospatial Analysis Techniques and Machine Learning Algorithms, such as Gaussian models, to efficiently determine average speed and distance travelled by buses along specific routes.

Machine LearningData Science