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About Me

Innovative ML Engineer with a passion for harnessing cutting-edge Machine Learning and Data Science to drive transformative solutions. Building on a solid foundation in Computer and Software Engineering, I design and deploy intelligent, scalable solutions that transform complex data into actionable insights. Whether it's optimizing algorithms or bridging the gap between technical intricacies and real-world applications, I thrive on solving challenges with creativity and precision. With expertise spanning machine learning, deep learning, and adaptive technologies, I have a proven track record of translating complex algorithmic challenges into scalable, impactful solutions that drive meaningful technological advancements. My journey is fueled by a commitment to continuous learning and collaboration, leveraging emerging technologies to empower users and elevate business outcomes.

Skills

Work Experience

Position of Responsibility

Education

Certifications

  • Programming Languages
    C, C++, Python, SQL
  • ML/AI Frameworks
    PyTorch, Langchain, Langsmith, Langgraph, Langflow, OpenCV, YOLO
  • Vector Databases
    Milvus(Standalone),Weaviate, Elasticsearch
  • Data Preprocessing
    Pandas, Matplotlib, Plotly, Scikit-learn
  • Web Development
    Flask, FastAPI, Bootstrap, HTML, CSS, JavaScript(basic)
  • Database
    MySQL, SQLite, MongoDB, Database Management Systems
  • Version Control
    Git, Github, Bitbucket
  • IT Constructs:
    Data Structure and Algorithms, OOPS, Operating System, Database Management System
  • Operating Systems
    Windows, Linux(Ubuntu)
  • AI/ML
    Machine Learning, Natural Language Processing, Computer Vision, Generative AI, Object Detection and Localization, RAG
  • Professional Skills
    Analytical Thinking, Technical Leadership, Cross-functional Collaboration, Project Management
  • Software Engineer(AI/ML) at Daffodil Software | Unthinkable Solutions, Gurugram(Haryana)
    June, 2024 - Present
    • Engineered and optimized end-to-end AI/ML solutions and Python backends for healthcare and enterprise clients, improving model accuracy by 11.4% while maintaining strict data compliance standards.
    • Developed a breakthrough NLP-powered chatbot for a leading Homeopathy company ($13.5M revenue), integrating with their existing customer service framework and increasing customer engagement.
    • Architected and deployed an on-premise LLM-based chatbot solution for India’s largest automobile manufacturer, enabling secure knowledge access across multiple manufacturing stations.
    • Built scalable digital learning and job-hunting platforms for a government organization, engineering solutions capable of handling millions of concurrent users while maintaining system reliability.
    • Led multiple client onboarding processes, including technical documentation and RFQ preparation, coordinating with cross-functional teams to align technical solutions with business requirements.
    • Established ML model lifecycle management practices from data ingestion and feature engineering to deployment and performance monitoring, ensuring consistent quality across all AI/ML initiatives.

  • Data Analyst Intern at National Informatics Cenre(NIC), New Delhi
    Junuary, 2024 - June, 2024
    Certificate
    • Led ANPR system dev, enhancing speed & accuracy contributing to One Nation, One Challan initiative.
    • Analyzed vast Indian challan data, extracting insights to understand traffic complexities globally.
    • Used analytics to process 50 Million+ challan entries, categorizing into 12 segments for visualization.
  • Mentor at FROSH, TIET(Event Organizer)
    Orchestrated multiple events at the institute level for the entire college, including the Freshman Welcome.

    Facilitated multiple workshops for incoming students and assisted them in adjusting to college life.
    • Certificate
  • Core Member at MARS , TIET(Lead Member)
    Conducted orientation and oversaw recruitment processes for the entire incoming class.

    Acquired knowledge of the fundamental principles and operations of the Skylark drone.
  • 2020-2024
    B.E in Computer Engineering at THAPAR INSTITUTE OF ENGINEERING AND TECHNOLOGY(TIET)
  • 2018-2020
    Higher Secondary Education at GURUKUL KURUKSHETRA
  • 2017-2018
    Secondary Education from M S SR SEC SCHOOL JHANSA KURUKSHETRA
  • Data Scientist Intern at Psyliq(Remote)
    • LOR
  • Governance Analyst at Goldman Sachs(Virtual Experience Forage)
    • Certificate
  • Software Engineering at J.P. Morgan(Virtual Experience Forage)
    • Certificate
  • Python Essentials by Cisco Networking Academy
    • Certificate
  • Secured AIR 5251 rank in 1,37,000 in Coding Kaze 2023 by Coding Ninja
    • Certificate

My Projects

Rx.AI(Smarter Prescriptions using AI)

Python, ML, Generative AI, Voice Recognition, Streamlit, Twilio, OCR

Led development of AI-powered healthcare solution with 9+ widgets, reducing prescription creation time by 60% through voice assistance and automating analysis of 1000+ patient records per minute.

Developed a patient profiling system that processes medical history in under 5 seconds, boosting diagnosis efficiency by 45% and enabling data-driven treatment recommendations.

Implemented prescription management platform, achieving 98% accuracy in medical terminology and reducing patient medication costs by 30% through AI-driven affordable alternatives.

Learn more

DPAS (Dynamic Property Analysis and Search)

Python, Streamlit, Gemini API, SentenceTransformers(all-MiniLM-L6-v2)

Engineered a cutting-edge AI-driven platform using Gemini API, achieving intelligent interpretation of complex natural language queries and automating data analysis for 5000+ property listings.

Spearheaded development of a sophisticated property recommendation engine using Transformers, achieving 95% accuracy in matching user preferences with properties via semantic similarity analysis.

Orchestrated an end-to-end solution, implementing real-time data preprocessing and interactive visualizations that reduced property search time by 60% and enhanced user decision-making.

Learn more

Ticketing Support System

Python, Flask, Langchain, FastAPI, Elasticsearch, Langsmith, Langflow

Engineered a high-performance ticketing support system using OpenAI APIs, LangChain, and LangSmith that intelligently responds to user queries from an existing knowledge base and creates tickets for unaddressed questions, handling 10M+ active users monthly.

Implemented comprehensive token usage tracking and performance monitoring through LangSmith and Langfuse integration, providing real-time insights on latency, token consumption, and tool call efficiency to optimize response time and cost.

Developed a resilient system architecture with session management, secure user verification (email/phone OTP), streaming responses, and interruption handling capability, resulting in 30% faster query resolution times.

Learn more

Homeopathic AI Assistant

Python, NLP, OPENAI, Flask, Weaviate, MySQL

Engineered Advanced AI-Driven Medical Platform by fine-tuning ChatGPT-3.5 Turbo to synthesize complex homeopathic medical information, enabling precise natural language querying of historical literature.

Developed machine learning techniques to transform unstructured medical texts into structured knowledge repositories, achieving 97% classification accuracy through advanced vectorization strategies.

Developed a Flask app with Agentic AI, leveraging RAG-powered filtering and bias detection to cut practitioner research time by 60%, enhancing medical knowledge discovery.

ON PREMISE LLM Chatbot

Python, Flask, FastAPI, Milvus(Standalone), PostgreSQl, gte-large, OLLAMA qwen2.5:7b

Engineered a multi-modal AI chatbot framework using open-source LLMs, integrating text-to-image generation, image captioning, and intelligent multi-source information retrieval on CPU infrastructure

Developed an advanced agentic blueprint with sophisticated NLP capabilities, enabling dynamic query resolution and comprehensive insight extraction across interconnected datasets

Created a versatile AI platform that synthesizes information from multiple sources, delivering intelligent, context-aware responses with optimized local performance

Traffix: Intelligent Traffic Control Solution

Python, Computer Vision, SUMO, SQLite, Twilio, Machine Learning

Implemented real-time green light adjustments with genetic algorithms, reducing traffic delays by 25%.

Implemented traffic optimization at a four-way, three-lane intersection, increasing intersection throughput by 30%.

Conduct an investigation or audit to ascertain if there have been any breaches or infractions.

Learn more

Fitness 360 Website

HTML, CSS, JavaScript, Bootstrap, React, Express, Node.js, MongoDB

Let users make their own profiles and keep track of their health goals and progress over time.

Aid customers in achieving fitness goals with nutrition advice, meal planning, and healthy recipes.

Integrated MongoDB for real-time updates and modifications directly from the frontend.

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Loan Guard

Python, Machine Learning

Developed a loan assessment model predicting repayment using income and interest rate inputs.

Recommended risk mitigation strategies based on a 2.66 ratio to minimize non-repayment risk.

Achieved over 91% model accuracy and 96% precision using ensemble techniques.

Learn more

Vehicle Detection

Python, Machine Learning, OpenCV

Detect and Count different Vechiles from any image or Video.

Extract number plate of Vechiles and also check Traffic Violation.

Learn more

Automatic Smile Capturer

Python, Machine Learning, OpenCV

Detect face and detect lips when it is smile position specific.

Click the picture.

Save the Image with specific format and with date and time stamps.

Learn more

My Work

Rx.AI(Smarter Prescriptions using AI)

Rx.AI is an innovative solution that revolutionizes the way prescriptions are managed, created, and understood by both doctors and patients. Our platform leverages AI to solve multiple pain points in the healthcare prescription ecosystem.

Dynamic Property Analysis and Search

This project provides a Streamlit-based web application for dynamic property analysis and search. It uses machine learning models and natural language processing to interpret user queries, search property data, and perform analyses.

Dynamic Property Analysis and Search

This project provides a Streamlit-based web application for dynamic property analysis and search. It uses machine learning models and natural language processing to interpret user queries, search property data, and perform analyses.

Vehicle Detection

Detect and Count different Vechiles from any image or Video.

Automatic Smile Capturer

Detect smile, Click picture and save the Image with specific format with date, time stamps.

Perfect Match

Convert image into hash code then search image with minimum difference.

Drowsiness Detection

Detect Drowsiness by detecting the blinking of both eyes.

Images Classification

Classifies the images on the base of training model

OpenCV

Image Processing Operations here it is left and right mouse operation.

Fitness 360

Allow users to create personalized profiles where they can track their fitness goals, and progress over time.

See more

Contact Me

akshpreet2002@gmail.com


+91-7206021151



Download CV