What are my Experience ?

Work Experience

Outliers

AI/LLM Trainee

Oct 2024 - Mar 2025

California, US

  • Rigorous Evaluation of LLM Outputs: Assessed and rated responses from two advanced LLM models using standardized criteria (accuracy, coherence, and relevance), ensuring high-quality outputs.
  • Conducted detailed analyses of model outputs for two advanced LLM models, identifying key strengths and weaknesses that directly informed adjustments to evaluation metrics and alignment strategies, enhancing overall performance consistency.
  • Delivered structured feedback by compiling detailed analysis on model performance, resulting in a 20% improvement in response accuracy across evaluated outputs and ensuring higher consistency for end-users.

Feynn Lab

Machine Learning Engineer

July 2024 - Sept 2024

Guwahati, IN

  • Advanced Multi-Disease Detection: Engineered an AI-based detection system using machine learning algorithms that achieved 85% diagnostic accuracy and reduced false positives by 15%, improving patient outcome reliability.
  • Launched a predictive healthcare platform that reduced processing time for analytics queries to under 2 seconds, facilitating quicker patient care decisions and enhancing overall operational efficiency for healthcare providers.
  • Effective Team Leadership: Led a team of 4 engineers, coordinating project deliverables and implementing strategic solutions for outlier management and imbalanced datasets, thus enhancing model robustness.
  • Spearheaded the integration of various cloud-based predictive analytics tools, enhancing the company's capacity to anticipate market trends and improve decision-making responsibilities across departments.

DataLog Research Lab

AI Software Developer

feb 2024 - April 2024

Bangalore, IN

  • High-Accuracy Depression Detection System: Designed and implemented a depression detection system leveraging NLP techniques and Scikit-learn, achieving 99% accuracy in quiz analysis and 77% in sentiment analysis.
  • Comprehensive Web Application Development: Developed a real-time analytics web application using Flask, Django, SQLite, and modern frontend technologies, facilitating the analysis of X-Tweets data.
  • Robust Dataset Engineering: Generated and curated datasets through quiz-based analysis and Twitter API integration, ensuring rigorous validation and enhanced training data quality.
  • Enhanced System Sensitivity: Led a team of 3 engineers to implement dual detection approaches, resulting in a 77% increase in system sensitivity and delivering more nuanced and reliable detection outcomes.

Pantech.AI

Data Scientist Intern

Nov 2023 - Feb 2023

Chennai, IN

  • Developed a drowsiness detection system with 96% accuracy using Python, AI, and ML algorithms, reducing fatigue-related incidents by 20%.
  • Created an automated data cleaning pipeline, cutting data preparation time by 40% and accelerating project timelines by 15%.
  • Engineered real-time data processing techniques for instant drowsiness alerts, enhancing system responsiveness by 30%.