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Esha Tumanpelli

Open to work1 years experience

Software Engineer

Hyderabad, IndiaTarget Roles: Backend Engineer • Full-Stack Developer • Frontend Specialist

Software Engineer and Technology Support professional.

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Standing Rank

Rank Not Available

Developer Badges

Badges Pending

Skills & Technologies

42 skills
pythonjavascripttypescriptsqlreact.jsnode.jsflaskdjangobootstraphtmlcssscikit-learnllmsgemma 27btransformersnlpgnnstensorflowkeraspytorch geometriclstmregressionclassificationclusteringnumpypandasmatplotlibseabornpower biexcelpostmanvs codejupyterstreamlithugging facegoogle colabwindows 10macoslinuxawsdockergcp

Work Experience

Full Stack Developer

Markeyway Ventures

Feb 2026 - Present Pune
  • Developed and maintained responsive web applications using React.js, JavaScript, and TypeScript; ensured cross-browser compatibility, performance, and optimized user experience across production projects.
  • Implemented dynamic features and reusable components improving code maintainability; managed Node.js build configuration and environment setup for smooth deployments.
  • Applied SEO best practices (meta tag optimization, semantic HTML, performance tuning); documented system configurations and technical processes to support knowledge sharing and operational continuity.
  • Mentored new team members on coding standards and environment setup; collaborated with cross-functional stakeholders delivering accurate, timely solutions with high customer satisfaction.

Jr. Data Scientist

Cogninest AI

Jan 2025 - Feb 2026 Pune
  • Implemented data analysis using the Gemma model and Hugging Face tools; fine-tuned Google Gemma 27B and worked on LLMs to extract structured insights from unstructured data.
  • Developed and validated machine learning models; conducted API testing and system validation using Postman across platforms to ensure reliability and performance.
  • Performed system monitoring; identified, logged, and escalated incidents following defined response workflows; prepared structured reports on resource utilization and pipeline performance for cross-functional teams.
  • Applied security patches, supported backup and recovery of pipeline data; documented system configurations and cloud setups; stayed informed about ongoing issues via email and internal channels.

Projects

Patient Safety Signal Detection

View Project
PythonPyTorch GeometricHugging FaceNeo4jAWSStreamlit
  • Built a knowledge graph from the FDA FAERS dataset; managed data infrastructure, storage configuration, and disaster recovery; applied NLP (NER, topic modeling) and GNNs for drug–side effect link prediction.
  • Integrated Generative AI for automated safety summaries; deployed interactive Streamlit dashboard for visualizing drug–side effect networks, safety signals, and system monitoring for stakeholders.

NLP Sentiment Analysis Web App

View Project
PythonTensorFlowKerasNLTKspaCyFlaskStreamlit
  • Designed end-to-end NLP pipeline (tokenization, stopword removal, stemming, lemmatization); built and trained LSTM model in TensorFlow/Keras; deployed real-time Streamlit app with Flask backend.
  • Monitored system performance, documented configurations, and optimized input-output handling across test scenarios applicable to web application architecture and Linux-hosted system monitoring.

Voice Assistant

View Project
PythonSpeech RecognitionNLPFlaskPostman
  • Built Flask backend for real-time voice command processing; integrated APIs for weather, reminders, and task automation; validated API reliability and performance via extensive Postman testing.
  • Optimized input-output handling and token processing to improve response accuracy and system efficiency; designed multi-turn conversation flow with context-aware NLP response generation.

Credit Card Score Prediction

View Project
Pythonscikit-learnPandasNumPyMatplotlib
  • Built a machine learning classification model (Logistic Regression, Decision Trees, Random Forest) to predict credit card scores from financial and demographic data with high accuracy.
  • Performed end-to-end data preprocessing, feature engineering, and model evaluation using Confusion Matrix, Classification Reports, and MSE metrics; published research findings in IJCRT, April 2024.
  • Demonstrated applied ML in the BFSI domain, gaining foundational expertise in financial data analytics and interpretable model design for real-world credit risk assessment.

Leaderboard Standings

Leaderboard Position Pending

Global test scores, peer standing percentiles, and algorithm leaderboard ranks are updated dynamically.

Assessment Highlights

Assessments Not Completed

Coding evaluations, system assessment results, and conceptual score badges will appear here after taking a test.

AI Collaboration Score

AI Collaboration Score Pending

Developer coding behavior, assistant cooperation, and AI pair-programming indicators are evaluated during live coding sessions.

Role Compatibility Profile

Role Compatibility Analysis Pending

Custom matching reports, candidate role compatibility percentiles, and core engineer strength profiles are processed once conceptual code screenings are complete.

Achievements

Research Publication

Published research findings on Credit Card Score Prediction in IJCRT.

About Details

Professional Bio

Versatile Software Engineer and Technology Support professional with a B.Tech in Computer Science. Experienced in full-stack development, data science, machine learning, LLMs, NLP, system monitoring, incident management, and API validation.

B.Tech in Computer Science and Engineering

CMR Engineering College, Hyderabad ( - 2024)

Languages: English, Hindi
Email: Locked