As a computer science graduate, I possess a comprehensive foundation in machine learning, deep learning, generative models, and natural language processing, evidenced by exceptional academic performance (9.59/10 CPI) - (3.8/4 GPA Equivalent). My practical experience includes developing sophisticated AI systems such as retrieval-augmented generation frameworks, diffusion-based generative models, and multilingual NLP pipelines.
Research Focus
My research endeavors are concentrated on Generative AI, Machine Learning, and NLP. Key areas of interest include model efficiency, privacy-preserving techniques, and fostering human-AI collaboration. I am dedicated to architecting scalable, reproducible pipelines that effectively translate cutting-edge research into tangible, real-world deployments.
Professional Experience
1
Advanced Engineering Application Analyst
Accenture | Sept 2023 - Present
Implemented Retrieval-Augmented Generation (RAG) with multi-agent orchestration and advanced prompt engineering
Developed intelligent multi-agent AI chatbot with LLM backbone, optimizing knowledge retrieval and response generation
Mastered AWS ecosystem including S3, Athena, CodeBuild, EC2, and Databricks for MLOps implementation
Built, maintained, deployed, and monitored models on AWS and Databricks platforms
2
Machine Learning Intern
Prodigal AI | Mar 2022 – Jun 2023
Successfully delivered AI-powered storytelling solutions for children with complete API deployment
Led NLP projects including automated form filling chatbots and anomaly detection through graph analysis
Implemented automated stock investment algorithms using machine learning for portfolio optimization
Demonstrated expertise in data processing, problem-solving, and end-to-end solution development
3
Research Intern
IIT Roorkee | June 2021 - Aug 2021
Performed Exploratory data analysis on scrapped data to find and highlight meaningful and correlated features
Developing machine learning models using past data as input to predict range an electric vehicle can go with given conditions and battery amount left
Completed and comprehended project work under the guidance of A. Ramesh, DOMS IIT Roorkee
Research Contributions
Stable Diffusion for Medical Imaging
Published Research | The Journal of Current Research in Engineering and Science (PSVPEC)
Co-authored a research paper on the application of Stable Diffusion for synthetic medical data generation. Fine-tuned diffusion models specifically for chest X-ray augmentation, leading to improved downstream diagnostic accuracy. This work effectively addresses critical data scarcity challenges within medical AI applications.
Research Intern at IIT Roorkee
Mentor: A. Ramesh, DOMS IIT Roorkee | June 2021 - Aug 2021
Conducted comprehensive exploratory data analysis on acquired datasets to identify significant correlations. Developed machine learning models for electric vehicle range prediction, utilizing historical data and battery conditions, thereby contributing to sustainable transportation research initiatives.
Transliteration Research
Neural Machine Translation | Devanagari to Roman Script
Investigated existing transliteration techniques across various language pairs. Implemented encoder-decoder neural networks, incorporating LSTM and GRU cells, to achieve superior BLEU scores and enhanced sequence-to-sequence accuracy for cross-script translation tasks.
Academic Excellence
B.Tech Computer Science
Jamia Millia Islamia, New Delhi
2019-2023 | 9.59/10 CPI
Graduated with distinction, demonstrating exceptional academic performance and deep understanding of computer science fundamentals.
Class XII (CBSE)
Rainbow School, Saharanpur
2017-2018 | 95%
Outstanding performance in higher secondary education, establishing strong foundation for technical studies.
Class X (CBSE)
Rainbow School, Saharanpur
2015-2016 | 77.9%
Solid academic foundation in secondary education, demonstrating consistent academic growth trajectory.
Featured Projects
1
AI Storybook Generator
Revolutionary storytelling platform leveraging LLMs and image generation models with character consistency seeding. Deployed complete solution with API and Streamlit frontend on Azure, demonstrating end-to-end AI product development capabilities.
Built sophisticated encoder-decoder framework using CNN for image feature extraction and RNN variants (Vanilla RNN, LSTM, GRU) for Hindi caption generation. Curated and preprocessed Hindi image-caption dataset with advanced tokenization techniques.
Technologies: TensorFlow/Keras, NLTK, Python
3
Intelligent Stock Trading Bot
Processed 1.5M+ tweets using advanced NLP techniques and fused sentiment analysis with historical market data. Developed BERT-based sentiment classifier integrated with LSTM networks for automated buy/sell signal generation and real-time trading simulation.
Technologies: BERT, LSTM, Flask, Scikit-learn
Technical Expertise
Machine Learning & AI
Expert proficiency in PyTorch, TensorFlow, Hugging Face Transformers, and LangChain. Specialized in deep learning architectures, generative AI models, prompt engineering, diffusion models, NLP pipelines, and anomaly detection systems.
Data Science & Analytics
Advanced skills in Python ecosystem including Pandas, NumPy, Matplotlib, and Seaborn. Expertise in SQL, Spark, comprehensive data preprocessing, feature engineering, and exploratory data analysis for large-scale datasets.
MLOps & Cloud Platforms
Proficient in containerization with Docker and Kubernetes, CI/CD pipelines with Jenkins, and cloud platforms including AWS (S3, EC2, Athena, CodeBuild) and Azure. Experience with Databricks and GitHub Actions for automated workflows.
Software Engineering
Strong foundation in FastAPI, REST API development, and Streamlit for ML frontend applications. Skilled in Git version control, object-oriented programming principles, and software design patterns for scalable applications.
Leadership & Recognition
1
Research Publication
Co-authored and published a research paper titled "Stable Diffusion-based synthetic image generation for enhanced diagnosis," demonstrating significant contribution to cutting-edge medical AI research.
2
GDSC Founder & Lead
Established and led the Google Developer Student Club (GDSC) at Jamia Millia Islamia, overseeing campus-wide technical operations and fostering robust student community engagement.
3
GitHub Field Day Leader
Selected as one of 160 national community leaders for the GitHub Field Day event, in recognition of exceptional contributions to the developer community and the open-source ecosystem.
Community Impact
Technical Judge & Evaluator
Served as a technical judge and evaluator for student AI/ML projects at the BML Munjal Hackathon 5.0. This role involved assessing innovative technical solutions and mentoring emerging talent within the artificial intelligence and machine learning domains.
NASA Space Apps Challenge Lead
Led the NASA Space Apps Challenge 2021 in Saharanpur district. Responsibilities included organizing this prestigious global hackathon and fostering space technology innovation among local participants.
GDSC JMI Lead
As the founder and lead of the Google Developer Student Club (GDSC) at Jamia Millia Islamia, I organized 10+ offline and online events and built a vibrant community of 1000+ developers at the college. Key initiatives included mentoring and guiding students for the Google Solution Challenge, fostering innovative project development. I also organized focused Study Jams covering core Google technologies like Android, Web, Cloud, and Machine Learning, and hosted regular Tech Talks and Workshops on various Google technologies to enhance practical skills.
Organizational Involvement
Active participation in prestigious organizations:
My active involvement includes Enactus (social entrepreneurship and community impact), IEEE (Institute of Electrical and Electronics Engineers - global professional association for technology advancement), CSI (Computer Society of India - premier professional society for IT professionals in India), TRS (The Robotic Society, focusing on robotics and automation), TEDx JMI (spreading innovative ideas), and MUN JMI (Model United Nations JMI, centered on diplomatic simulation and global affairs).
These leadership roles underscore a steadfast commitment to fostering innovation, mentoring emerging talent, and making significant contributions to the broader technological community through active participation in prestigious technical competitions and educational initiatives.
Connect & Collaborate
Seeking opportunities to integrate advanced AI research and practical solutions. My expertise in generative AI, machine learning, and scalable system design is poised to significantly contribute to your team's research objectives and drive impactful real-world applications. I welcome a discussion to explore these possibilities.