May 2024 – Jun 2024 · 1 mo · United States · Remote

• Advanced Transcription Systems: Developed transcription models for high-quality English, Indian accents, and medical terminology videos, achieving up to 98% accuracy using AWS transcribe.
• Educational Content Analysis: Created summarization models for video lessons and transcripts, ensuring high fidelity in content understanding and detailed concept coverage, which were validated by subject matter experts for accuracy.
• Innovative Platform Integration: Developed web and cloud-based platforms for uploading educational content and generating interactive questions, improving user engagement and streamlining the educational content delivery and assessment processes.
• Standard Lesson Content: Utilized Gen AI techniques to generate questions for standard lesson content, achieving 50% coverage of textbook questions. Developed an interactive platform hosted on Azure or AWS for users to upload educational materials and download questions in CSV format.
• Learning Objectives: Created models to generate questions based on provided learning objectives, ensuring coverage of 50% of these objectives with both multiple-choice and essay questions.
• Cognitive Learning Levels: Implemented question generation based on Bloom's taxonomy, covering 50% of the learning levels specified for the educational content.
• Transcribed Video Content: Generated questions using Gen AI techniques from video transcripts, with evaluations showing above-average grades by SMEs. This included both MCQs and essay questions.
• Video Learning Objectives: Developed a system to automatically identify and generate questions covering 50% of learning objectives from video content, displayed interactively on the UI.
• Video Learning Levels: Constructed models to generate questions that address 50% of the learning levels from video transcripts, ensuring comprehensive content engagement.

Apr 2024 – Present · 2 yrs 2 mos · Remote · Remote

• Conduct Mock Interviews for freshers as well as experienced candidates.
• Conduct Knowledge transfer sessions on Gen AI, Data Science, AI-ML
• Conduct a wide range of Advisory sessions for Tech Interviews and Interview preparation.

Nov 2023 – Apr 2024 · 5 mos · Gurugram, Haryana, India · On-site

• Document Search Optimization: Improved embedding-based search methodologies using LLMs like RAG, integrating knowledge graphs and keyword search for superior accuracy.
• PDF Parsing & Data Chunking: Implemented advanced techniques with open-source PDF parsers for efficient data analysis.
• Biomedical Entity Extraction: Conducted POC projects using Bio-BERT, Sci-Spacy, and Hugging Face models for accurate disease, gene, and drug recognition.
• Entity Ranking: Applied PubMed-BERT and Bio-BERT embeddings for precise biomedical data extraction.
• Dataset Development: Created extensive datasets using paraphrasing, summarization, prompt engineering, LangChain, and OpenAI API for accurate responses.
• Advanced AI Tools: Proficient in BERT, GPT, Neo4j, Vector DB, Pinecone, and Llama Index for developing cutting-edge AI solutions.
• Software Deployment: Utilized Docker, Git, and Jenkins for efficient deployment and continuous integration.
• Resource Allocation: Employed Ray Auto Scaler and AWS EC2 for scalable resource management.
• Data Processing & API Development: Implemented JupyterLab and FAST API for advanced data processing and visualization.
• Machine Learning Workflows: Integrated AWS S3 and Kubeflow to streamline model training and deployment.
• NLP & AI Solutions: Developed advanced solutions with OpenAI and Hugging Face models, enhancing language processing capabilities.
• High-Performance Computing: Managed NVIDIA Tesla V100 for accelerated machine learning model training.
• Innovative Data Solutions: Led development projects combining machine learning, NLP, and data engineering to drive business growth.

Nov 2022 – Nov 2023 · 1 yr · Bangalore Urban, Karnataka, India · On-site

• Cloud System Management: Proficient with AWS EC2, S3, Redshift, Lambda; Google BigQuery; and Docker.
• Process Optimization: Reduced manual WAYbill verifications by over 60% using OCR and AWS Textract.
• Behavioral Prediction: Utilized BigQuery ML for user behavior predictions, boosting engagement and conversions.
• CRM Optimization: Replaced CRM systems with custom app scripts to enhance customer support and campaign management.
• Churn Reduction: Developed churn prediction models, significantly decreasing customer attrition through targeted retention strategies.
• Data Integrity: Automated detection of production table issues, ensuring real-time data accuracy and flow.
• Fraud Detection: Advanced OCR and AWS Recognition techniques for precise fraud detection in QR code and bill analyses.
• Security Analysis: Analyzed over 100 call recordings to uncover fraud patterns, securing system reliability.
• Data Quality Management: Improved data validation processes for RC and GST numbers and QR codes.
• Logistics Optimization: Built a recommender system from scratch to improve logistics operations and user experience.
• Data Pipeline Development: Maintained robust data pipelines with Google BigQuery and AWS Redshift.
• Predictive Modeling: Forecasted trends with BigQuery ML, facilitating strategic decision-making.
• Application Scalability: Used Docker and Kubernetes for efficient containerization and orchestration.
• API Development: Designed custom Flask APIs for better data integration across platforms.
• Leadership: Directed cross-functional teams to pioneer data-driven solutions, enhancing machine learning applications.

Aug 2021 – Nov 2022 · 1 yr 3 mos · Gurugram, Haryana, India · Hybrid

• OCR and NLP for AUTO Heal Applications: Applied OCR techniques to extract text from warning and error screenshots of ongoing applications. Utilized NLP to remove unwanted symbols and terms, processing the text for an AUTO heal application to automatically identify and fix errors.
• REST API Development with Flask: Developed REST APIs using Flask for predicting diseased olive crops. This involved labeling and training a YOLO model to accurately identify crop diseases, enhancing agricultural diagnostics.
• Automation of Jira Test Cases: Built an application to automate Jira test cases using custom Named Entity Recognition (NER) and Part-of- Speech (POS) tagging techniques. Developed and authenticated the complete application with Flask API, streamlining the testing process.
• Application Development for Predictive Modeling: Designed and implemented a system using Flask API for predictive modeling, integrating advanced machine learning techniques to enhance predictive accuracy and operational efficiency.

Jan 2021 – May 2021 · 4 mos · Gurugram, Haryana, India · Remote

• Performed sentiment analysis on website texts to fine-tune market strategies,
• utilizing a Python-based web scraper to extract and analyze relevant data.
• Developed a loan default model using various machine learning algorithms,
• achieving top precision scores and enhancing predictive accuracy for financial
• risk assessment.
• Extensively documented Elasticsearch implementations, creating complex
• queries and aggregations to provide comprehensive and insightful data
• summaries.
• Utilized machine learning techniques to analyze and interpret data trends,
• contributing to more informed and strategic decision-making processes.
• Collaborated with cross-functional teams to integrate sentiment analysis and
• loan default models into existing systems, improving overall operational
• efficiency and effectiveness.*

Jul 2020 – Jan 2021 · 6 mos · United States · Remote

• Extracted and analyzed godown and retail shop data across India using diverse sources such as Google Maps, newspapers, and social media ads, ensuring comprehensive data collection.
• Cleaned and categorized large datasets using pandas, enhancing data quality and accessibility for further analysis and decision-making.
• Developed data pipelines to automate the extraction and processing of location data, improving efficiency and reducing manual workload.
• Collaborated with the data science team to provide actionable insights from the cleaned and categorized data, supporting strategic planning and operational improvements.

Apr 2020 – May 2020 · 1 mo

• Performed Web scraping of godown data all over India state-wise, Retail sh ops address scraping from google maps data, using google map find landmarks, distance using geographical information and for various purposes.[EDGISTIFY]
• Collecting Godown, warehouse information from newspaper & social media ads using open vision techniques, labelling and categorizing companies/retail shops, Data cleaning using pandas.[EDGISTIFY] (2 months)

Sep 2019 – Aug 2020 · 11 mos · New Delhi Area, India · On-site

• Mentored Students on Problem-solving, Data Structures in C++.

Aug 2016 – Aug 2020 · 4 yrs · Delhi, India · On-site

• Face Recognition Attendance System: Developed using OpenCV and Python to implement an efficient face recognition-based attendance system for colleges and organizations, improving accuracy and processing speed.
• Skillset Ontology: Authored a research paper on a machine learning-based ontology to categorize student projects by skills, using NLP, NLTK, and web scraping with Selenium, BeautifulSoup, and Mechanize, enhancing project allocation and peer learning.
• Smart Home Automation using IoT-Raspberry Pi: Created a comprehensive home automation system enabling remote control over home devices via a mobile application, increasing convenience and energy efficiency.
• Game Development and Chatbot: Built multiple minor projects including a chatbot, and games like Pong and Snake using Turtle and Pygame modules, showcasing versatility in programming and software development.
• Self-Driving Car: Designed a self-driving car system using TensorFlow and deep learning algorithms, focusing on real-time environmental recognition and navigation.
• Property Cost Estimation: Developed a machine learning model to estimate property costs based on location, size, and amenities, aiding in accurate and quick property evaluations.
• GUI Login System: Engineered a graphical registration and login system in Python, enhancing user interface design and security for software applications.