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Alec P.

AI and Data Science, Information Technology, Operations

call   (214) GO-RELAY / (214) 467-3529

email   Careers@RelayHumanCloud.com

home   Ahmedabad, India


SKILLS

  • AI Proficient
  • Github
  • Python
  • NumPy
  • Pandas
  • Data Cleaning
  • Feature Engineering
  • Supervised & Unsupervised Learning
  • Regression
  • Classification
  • Random Forest
  • Model Evaluation
  • ANN
  • CNN
  • LSTM
  • GRU
  • TensorFlow
  • Keras
  • Hyperparameter Tuning
  • RAG Pipelines
  • Embeddings
  • Vector Databases
  • LangChain
  • LLM Architectures
  • Semantic Search
  • Streamlit
  • Hugging Face Spaces
  • Jupyter Notebook

EDUCATION

Master of Business Administration

Sree Chaitanya Institute of Technological Sciences (2024)

Bachelor of Science

PMR Degree College (2020)

LICENSES & CERTIFICATIONS

  • Data Science | Innomatics Research Labs

ASSESSMENTS

CORE SKILL English Aptitude SoftwareDevelopment 0 100

PERSONALITY

ENTJ-A

Extraverted Introverted Intuitive Observant Thinking Feeling Judging Prospecting

People with ENTJ as a personality type are natural leaders. They are charismatic and confident, driving teams toward common goals with strategic thinking and discipline.

PROFESSIONAL SUMMARY

Result-driven Junior Software Developer with hands-on experience in AI, Machine Learning, and GenAI solutions. Proven ability to build RAG pipelines, semantic search systems, and ML-powered web applications using Python, TensorFlow, and LangChain. Strong foundation in data preprocessing, model development, evaluation, and deployment with experience delivering real-world, production-oriented projects. Demonstrated ability to work on end-to-end AI workflows, from data ingestion and feature engineering to model inference and deployment. Adept at collaborating in fast-paced environments and adapting quickly to new tools, frameworks, and problem domains.

PROFESSIONAL EXPERIENCE

Data Science Intern

Innomatics Research Labs | India | Nov 2025 – Dec 2025

  • Built an end-to-end AI pipeline to extract skills from resumes and job descriptions and performed semantic matching using vector embeddings.
  • Developed a Retrieval-Augmented Generation (RAG) chatbot using internal manuals and error logs to deliver accurate troubleshooting responses.
  • Integrated Large Language Models to generate personalized recruiter outreach emails, reducing manual screening and communication effort.
  • Implemented embedding-based semantic search with vector databases to improve retrieval accuracy and response relevance.
  • Designed and deployed Streamlit-based interfaces for real-time interaction with AI-powered applications.
  • Delivered production-ready AI projects including sentiment classification, obesity prediction, and rent price prediction systems.

Senior Associate

Wipro Pvt. Ltd. | India | Jun 2022 – Dec 2024

  • Annotated large-scale image and video datasets for autonomous driving systems, including lanes, traffic signs, objects, and pedestrians.
  • Maintained over 95% annotation accuracy through continuous validation and quality assurance checks.
  • Corrected data inconsistencies to ensure high-quality datasets for machine learning model training.
  • Collaborated with teams to improve annotation guidelines and enhance labeling tool efficiency.
  • Consistently met productivity and delivery targets in a high-volume data environment.



PROJECTS

Sentiment Classification Web Application

  • Built a Streamlit-based NLP application using LSTM models to classify text as positive, neutral, or negative.
  • AI Resume–Job Description Matching System
  • Developed an AI pipeline for semantic skill extraction, candidate-role matching, and automated recruiter email generation.
  • Machine Troubleshooting RAG Chatbot
  • Created a RAG-based chatbot using embeddings and vector databases to provide domain-specific troubleshooting responses.

Obesity Prediction System

  • Built a Random Forest–based machine learning application achieving 91% accuracy using structured preprocessing and feature scaling.

Rent Price Prediction System

  • Developed a regression-based machine learning application using Decision Tree Regressor with an R² score of 0.93.
  • Deployed multiple machine learning applications on Hugging Face Spaces to enable real-time user interaction and inference.
  • Evaluated model performance using industry-standard metrics such as accuracy, confusion matrix, cross-entropy loss, and R² score.