HarshVardhan singh
ML EngineerData Scientist | AI Researcher
Gloify
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Scientist | AI Researcher
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Scientist with 4+ years of experience building production-grade ML and LLM systems across fintech, government, and enterprise domains. Specialized in NLP-to-SQL, GraphRAG, and low-latency AI systems deployed on AWS. Proven track record of delivering measurable business impact through explainable ML, secure analytics, and scalable AI platforms.
Sam Global University
Master of Computer Applications - MCA, Computer Science
August 1, 2022 – July 1, 2024
G.H. Raisoni College of Engineering(GHRCE), Nagpur
Bachelor of Commerce Computer Application, COMPUTER APPLICATION
January 1, 2019 – January 1, 2022
Gloify
AI Engineer
November 1, 2024 – March 1, 2025
Bengaluru, Karnataka, India · On-site
Vrishchik Technologies LLP
Machine Learning Engineer
April 1, 2023 – March 1, 2024
Hyderabad, Telangana, India · On-site
CodeBook
Jr. Data Scientist
March 1, 2022 – April 1, 2023
Hyderabad, Telangana, India · On-site
Adorta
Web Developer Internship
October 1, 2021 – January 1, 2022
Delhi, India · Remote
Hotel Booking Tele-Bot
June 1, 2024 – Present
- Developed the Tele Bot system for hotels using advanced AI technologies like RAG, Deepgram, and Whisper Live to improve guest services and communication. - Achieved 87% speech recognition accuracy and enhanced engagement by 25% with context-aware responses, averaging 3 seconds response time. - Reduced API response times by 30% with FastAPI, improved system responsiveness by 40% using multiprocessing, and integrated real-time booking confirmation notifications via email. - Implemented a database to display real-time room availability and streamline follow-up, enhancing overall guest service operations.
Woolen Width Prediction
April 1, 2024 – July 1, 2024
- Developed a computer vision model to measure wool fiber width in microns from high-resolution images, achieving 90% accuracy and enhancing production efficiency. - Integrated the system into a live production environment with real-time analysis using overhead cameras, eliminating the need for physical sample extraction. - Replaced traditional microscopy with a scalable solution, streamlining quality assurance and maintaining precision across various wool textures and colors.
UrbanTransit Insights: Analyzing City Bus Data
May 1, 2023 – March 1, 2024
- Executed a thorough statistical analysis for government transportation services, covering bus schedules, revenue, maintenance, and driver behavior. - Led a data transformation pipeline for KPI calculation, including earnings per km, cost per km, and vehicle utilization. - Developed ranking systems for schedule adherence, route reliability, and driver performance evaluation. - Integrated document verification for user-uploaded documents like PAN, Aadhar, and other identification papers, using image processing to cross-check details with government agencies. - Monitored fuel efficiency and safety, tracking over-speeding and harsh events. Collaborated on data-driven reports for cost optimization and driver rating . - Deployed the transportation analytics project on AWS EC2 with Docker, enabling real-time KPI tracking and driver performance monitoring.
Auto Number Plate Detect
October 1, 2022 – March 1, 2023
Developed a computer vision system to detect cars and extract number plates from videos using YOLO and Keras. Integrated OCR and models for image deblurring and comparison to determine if a particular car is in the video. Optimized the system for real-time use and created documentation.
Predictive Analytics for Optimal Childbirth Mode
June 1, 2022 – September 1, 2022
I developed a predictive model aimed at assisting healthcare professionals in determining the safest and most effective mode of childbirth—whether natural delivery or cesarean section. Leveraging advanced machine learning techniques and patient data, the model analyzes key factors such as maternal health, fetal conditions, and past medical history to recommend the best approach. This tool is designed to enhance decision-making in obstetrics, ultimately improving maternal and neonatal outcomes while reducing the risks associated with childbirth.
Python for Data Science
COGNITIVE CLASS.ai
June 25, 2026 – Present
Introduction to Data Analytics with Python
Alison
June 25, 2026 – Present
Cultural Fit Analysis
The candidate has worked on a variety of projects across different domains (hospitality, manufacturing, healthcare, transportation, security), showcasing versatility and a broad interest in applying ML solutions. The experience with both personal projects and roles in different companies (Gloify, Vrishchik Technologies, CodeBook) suggests an ability to adapt to different work environments. The target role of ML Engineer aligns well with the candidate's demonstrated technical skills and project focus. However, the lack of explicit team collaboration descriptions in project details makes it harder to fully assess cultural fit beyond technical alignment.
Soft Skills & Operational Fit
The candidate's project descriptions suggest an ability to work on complex problems and deliver measurable results (e.g., 87% speech recognition accuracy, 30% API response time reduction). The diversity of projects indicates adaptability and a problem-solving mindset. However, without specific psychometric test results or interview data, it's difficult to assess collaboration, stress handling, or work attitude directly.