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AI Engineer with less than a year in Machine Learning & Computer Vision
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Anushka Shankar is an aspiring AI Engineer with hands-on experience in machine learning, deep learning, and computer vision. Her internships as a Software Engineering Intern at Google and a Summer Intern in Computer Vision & Deep Learning highlight her skills in developing scalable modules, real-time gesture interfaces, and deepfake detection systems. She is proficient in Python, Java, and C++, with a strong background in AI/ML frameworks and tools like TensorFlow, OpenCV, and MediaPipe.
Indira Gandhi Delhi Technical University for Women
B. Tech · Artificial Intelligence and Machine Learning
August 1, 2022 – June 30, 2026
St. Joseph's Convent High School
ICSE Board · Science with Computers
June 1, 2010 – May 31, 2022
Google IT Services India Pvt Ltd
Software Engineering Intern
June 1, 2025 – July 1, 2025
Delhi, Delhi, India
Computer Vision & Deep Learning Internship
Summer Intern
June 1, 2024 – July 1, 2024
India
Agnitra: Ecozone-Aware AutoML Wildfire System
June 30, 2026 – Present
Ecozone-aware spatial AutoML wildfire prediction system for modelling micro-climatic regions Dual-task hybrid model with Deep Learning, classical and tree models, with Optuna-based hyperparameter tuning. SHAP explainability, GIS risk maps, and deployable inference pipeline for operational use.
View ProjectDeepfake Detection
June 30, 2026 – Present
Real-time deep fake video detection extension with 93 percent accuracy for webpages. Selected for finals of National Hackathon Hackquest organized by IEEE Delhi Section and IEEE Bits Pilani. Created Chrome extension for Deepfake Detection with TensorFlow (CNN) and Flask integration.
View ProjectGesture-Controlled Virtual Mouse and Finger Air Writing
June 30, 2026 – Present
Developed a real-time gesture interaction system enabling hands-free cursor movement, clicking, and drawing Designed fingertip-tracking pipelines using MediaPipe, PyAutoGUI to detect gestures and map them to UI actions. Air-writing functionality with character prediction, clear/backspace, save, and mode-switching; enhancing accessibility and interaction
View ProjectAchievo! – Unleash Your Productivity
June 30, 2026 – Present
Developed productivity platform aimed at maximizing user efficiency through scientific techniques like Eisenhower, 1-3-5 rule, etc
View ProjectFlipkart Girls-Wanna-Code Scholar
Flipkart
June 1, 2026 – Present
1st Runner-up: Castor Hackathon
Castor Hackathon
June 1, 2026 – Present
2nd Runner-up: Pollux Hackathon
Pollux Hackathon
June 1, 2026 – Present
TalentSprint WE Scholar
TalentSprint
June 1, 2026 – Present
Futureforce – Women in Tech Summit by Salesforce
Salesforce
June 1, 2026 – Present
Women Engineers Program, TalentSprint & Google
TalentSprint & Google
March 1, 2023 – Present
Cultural Fit Analysis
The candidate's involvement in multiple academic projects, hackathons, and leadership roles demonstrates a proactive and collaborative approach. Their participation in programs like 'Women Engineers Program, TalentSprint & Google' and 'Flipkart Girls-Wanna-Code Scholar' indicates a commitment to continuous learning and diversity, aligning well with a growth-oriented and inclusive culture. The breadth of projects, from productivity platforms to wildfire prediction, shows diverse interests and adaptability.
Soft Skills & Operational Fit
The candidate's resume highlights soft skills such as Communication, Leadership, Teamwork, and Collaboration. Participation in various leadership roles (Management Head, Content Head) and mentoring activities suggests good operational fit for team environments. The hackathon successes also indicate an ability to work under pressure and deliver results.