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ML ENGINEER · DEV · RESEARCHER

Hi, I'm
Anushka!

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I'm a 20-year-old IT undergrad and an ML Engineer with research interests in AIML, building intelligent systems and full-stack AI applications that can see, understand, and solve real-world challenges to deliver user-centric solutions. Alongside my work in ML, I have 3+ years of hands-on web development experience. I'm an Amazon ML Summer School 2026 Scholar. I have won 3 hackathons collaborating with teams to develop innovative solutions. Driven by a passion for innovation, I've published 2 research papers in AIML.

I am an active member of Google's Women Techmakers and IEEE Robotics & Automation Society and part of the NVIDIA Developer Community, exploring advancements in AIML, and modern computing. My interests naturally gravitate toward anything that adds to the growing body of Human Knowledge. When I'm not coding, you'll probably find me drawing, winning debates, or strumming guitars every once in a while. I'm a living proof that a human can function with black coffee as their primary blood type. For more details about my experience, check out my resume.

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Experience

Professional Journey

Engineering roles, open-source contributions, and community work

JUL 2026 – PRESENT

Amazon ML Summer School (MLSS) Scholar

AMAZON · REMOTE

Selected as one of the scholars for Amazon ML Summer School 2026, a cohort-based program delivered directly by Amazon research scientists and applied ML researchers.
Learning advanced machine learning topics including Supervised Learning, Deep Neural Networks, Dimensionality Reduction, Unsupervised Learning, Sequential Learning, Reinforcement Learning, Generative AI & LLMs, and Causal Inference through live sessions and hands-on modules.
JUL 2026 – AUG 2026

Data Analytics Intern

OASIS INFOBYTE (AICTE OIB-SIP) · REMOTE

Engineered robust data cleaning and preprocessing pipelines for real-world datasets containing 50,000+ records (e.g., Retail Sales, Airbnb), handling missing values and outliers utilizing Python and Pandas.
Architected Exploratory Data Analysis (EDA) workflows to extract actionable business insights, generating 7+ interactive visualizations utilizing Seaborn and Matplotlib to map customer demographics and seasonal sales trends.
Developed predictive machine learning models, including Random Forest and Support Vector Machine (SVM) classifiers, achieving over 85% classification accuracy through systematic feature engineering and hyperparameter tuning.
Implemented 3 end-to-end analytical solutions—ranging from linear regression for price prediction to sentiment analysis—optimizing model cross-validation scores by 15% using Scikit-learn.
JAN 2026 – MAR 2026

Blockchain Risk Developer

ZETHETA ALGORITHMS PRIVATE LIMITED · REMOTE

Engineered core decentralized infrastructure for the WorkBridge platform, integrating Web3 wallets to facilitate a secure, low-latency Crypto-Fiat Bridge.
Architected a Stablecoin Stress Tester that continuously monitors on-chain telemetry, tracking collateralization ratios across 4+ major liquidity pools to improve systemic risk assessment.
Developed an automated Solidity vulnerability scanner utilizing static analysis to analyze 10,000+ lines of smart contract code, capable of detecting common Reentrancy and Access Control vulnerabilities prior to deployment.
Implemented an Avellaneda-Stoikov market-making engine to programmatically manage inventory risk, optimizing bid-ask spreads and enhancing high-frequency liquidity provision.
JULY 2025 – SEPT 2025

Open-Source Contributor

GSSoC '25 · REMOTE

Contributed to 4 major open-source repositories, successfully merging 15+ Pull Requests (PRs) focused on core feature additions, dependency upgrades, and critical bug resolutions.
Improved algorithmic efficiency through code refactoring, memory optimization, and complexity reduction across multiple modules.
Collaborated asynchronously with a global network of maintainers, conducting strict peer code reviews, resolving merge conflicts, and ensuring adherence to CI/CD testing pipelines and semantic versioning.
Projects

Deployed Engineering Solutions

Production systems, research prototypes, and creative explorations

DeepfakeDetector

DeepfakeDetector: Frequency-Based AI Inference Engine

ReactFastAPIPyTorch2D FFTResNet-18
Frequency-domain engine using 2D FFT + ResNet-18 to identify synthetic fingerprints invisible to spatial-only CNNs.
<1.8s end-to-end latency via distributed React/FastAPI/Docker stack.
Deweathering Engine

Deweathering Engine

ReactFastAPIOpenCVRPCA
Full-stack app using Robust PCA to extract clean text from degraded documents.
95% automated parameter tuning via custom Adaptive Regularization heuristic. Full restoration in <2.5s.
iNaturalist Clumper

iNaturalist Clumper: Geospatial Data Engineering

PythonData EngineeringSpatial Algorithms
CLI grouping biodiversity observations into clusters on 5km/3hr spatio-temporal thresholds.
Incremental sync engine with timestamp state tracking. Dynamic cluster merging for overlapping windows.
DCO6 Synthesizer

DCO6: Polyphonic VST3 Synthesizer

C++JUCE FrameworkAudio DSP
6-voice polyphonic VST3 synthesizer built from scratch in C++ with JUCE.
4-pole Moog-style ladder filter, BBD stereo chorus, independent ADSR envelopes, real-time FFT analyzer.
SEE OTHER PROJECTS →

These are just some highlights. Explore all repositories, experiments, and works-in-progress.

VIEW ALL ON GITHUB
Technical Arsenal

Core Competencies

Languages, frameworks, and tools across the full stack and ML pipeline

anushka@dev ~ stack.json
// Technical Stack — Anushka
"role": "ML Engineer / Full-Stack",
"languages": [ "Python", "Java", "C++", "SQL", "JS", "HTML", "CSS" ],
"ml_frameworks": [ "PyTorch", "Scikit-learn", "XGBoost", "LightGBM", "OpenAI" ],
"web": [ "React", "FastAPI", "Flask" ],
"cloud_devops": [ "AWS", "Docker", "Git" ],
"actively_shipping": true
Languages
Python Java C++ SQL JavaScript HTML5 CSS3
Libraries & Frameworks
Scikit-learn PyTorch Pandas NumPy XGBoost Flask FastAPI React OpenAI
Tools & Platforms
Amazon AWS Streamlit Git Jupyter Power BI Docker
Research & Publications

Advancing Intelligent Systems

Peer-reviewed research in ML efficiency, deepfake forensics, and sovereign AI

Sovereign AI Research
QLoRABITNET 1.58PEFTSovereign AI

Architectural Paradigms for Sovereign AI: Mitigating API Fragility through Quantized Low-Rank Adaptation and 1.58-bit Ternary Models [Officially lived on SSRN]

A rigorous methodology for deploying Sovereign AI through Small Language Models (SLMs) to mitigate API fragility. Investigates the synergy between 4-bit NF4 quantization, native 1.58-bit ternary architectures, and LoRA for specialized domains. Officially lived on SSRN.

93% reduction in inference OpEx450M token TCO break-even
Deepfake Detection
2D FFTResNet-18PyTorchDeepfake

Isolating Synthetic Fingerprints: A Frequency-Domain Approach to Robust Deepfake Detection using 2D FFT and Lightweight CNNs

A novel, lightweight deepfake detection engine isolating synthetic fingerprints in the frequency domain. Employs micro-blur preprocessing to suppress superficial high-frequency noise, followed by 2D FFT to extract spectral magnitude maps.

99.12% on FaceForensics++45 FPS real-time inference
Achievements & Certifications

Milestones & Recognition

Awards, accomplishments, and continuous professional development

Amazon

Amazon ML Summer School 2026

Selected for the highly competitive Amazon Machine Learning Summer School, gaining in-depth exposure to industry-applied ML concepts, deep learning, and scalable AI solutions directly from Amazon scientists.

IndiaFirst Life (Bank of Baroda)

Unexpectedly shortlisted via Foundit and successfully cleared an interview for a Business Administration/Management role as a 6th-semester undergrad. Secured a 2-month training program with a stipend, leading to a full-time offer but respectfully declined to focus on 6th-semester studies.

SIH '25 Semi-Finalist

'Digi-Pramaan' - Top finalist out of 250+ teams in the college internal round of Smart India Hackathon 2025.

Hackathons Winner

I have won 3 hackathons, collaborating with teams to develop innovative solutions.

HackerRank

Gold Level (5 Star) in Python, Silver Level (3 Star) in Java.

Extracurricular Leadership

Active member of 'Samaritans' social club since first year of my undergrad degree - community initiatives, collaborative events and also in debates and quiz competitions.

Certifications

Data Analytics Job SimulationDeloitte Australia
Software Engineering Job SimulationJPMorgan Chase
Introduction to Agent SkillsAnthropic Academy
Train & Manage ML Model with AzureMicrosoft
Understand Data Science for MLMicrosoft
Python for Data ScienceIBM
GenAI Powered Data Analytics SimulationTata
Memberships & Affiliations

Global Communities

Professional organizations driving innovation in AI and technology

Google
Active Member

Google's Women Techmakers

Engaging in a global community supporting women in tech through events, learning resources, and networking.

→View Profile
NVIDIA
Active Member

NVIDIA Developer Community

Exploring advancements in cloud computing ecosystems and AI hardware infrastructure for accelerated GPU inference.

→View Profile
IEEE
Active Member

IEEE Robotics & Automation Society

Participating in the Technical Committee on Machine Learning for Automation, focusing on the intersection of AI, robotics, and intelligent systems.

→View IEEE Profile
Education

Academic Foundation

Techno Main Saltlake

Bachelor of Technology · Computer Sciences & IT

2023 – 2027
Computer Sciences and Information Technologies
Resume

Complete Technical Profile

Want a detailed breakdown of my academic background, technical skills, and professional experience? View or download my complete resume below.

DOWNLOAD RESUME.PDF
Contact

Initialize
Connection.

Always open to discussing software engineering opportunities, ML research, and innovative ideas. Let's execute a handshake.

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© 2026 Anushka.✩ End of File.