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TANISH GAHLOT

Open to work0 years experience

Software Developer

DelhiTarget Roles: Backend Engineer • Full-Stack Developer • Frontend Specialist

B.Tech (CSAI) student with experience in full-stack development and machine learning.

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Standing Rank

Rank Not Available

Developer Badges

Badges Pending

Skills & Technologies

24 skills
react jshtmlcssjavascripttailwind csspythonnode.jsrest apisflaskfastapimysqloracle rdbmssqlmongodbawsgitgithubvs codeclic/c++pandasnumpyscikit-learnandroid studio

GitHub Activity Evidence

GitHub Footprint Not Connected

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Work Experience

Information Technology Intern

Engineers India Limited

May 2024 - Jul 2024 New Delhi
  • Contributed to SECABLE, a web-based enterprise application for project site engineers at a Government of India EPC consultancy (EIL).
  • Developed and maintained backend modules for cable scheduling, contractor allocation, reporting, and user management; ensured data integrity using Oracle RDBMS (MySQL-compatible SQL).
  • Integrated SECABLE with ECABLE and WAMS systems via REST APIs for real-time data synchronization; tested and validated API endpoints across modules.
  • Managed code versions and collaborated with team using Git/GitHub; authored system documentation across the full project lifecycle.

Projects

Hybrid Clinical Decision Support System (CDSS)

ReactPythonREST APIFAISSLLM
  • Built end-to-end: React-based frontend, Python backend, REST API layer, and database-backed document pipeline — deployed locally with full-stack ownership across all layers.
  • Designed modular backend architecture: document ingestion→vector embedding→FAISS retrieval →controlled LLM generation, serving structured responses via a clean API interface.
  • Implemented session-based state management on the backend enabling multi-turn interactions; debugged and resolved memory leakage and retrieval ranking errors across pipeline stages.
  • Achieved~90% end-to-end system reliability; managed full project lifecycle on GitHub including version control, branching, and iterative deployment.

Network Anomaly Detection System

Machine LearningSQLCICIDS2017
  • Developed a machine learning pipeline using the CICIDS2017 dataset; implemented and evaluated seven supervised algorithms achieving up to 97% detection accuracy.
  • Wrote SQL queries to extract, filter, and analyze structured network traffic data for feature investigation and model validation.
  • Debugged evaluation scripts to identify and correct metric computation errors; validated model output correctness across all attack categories before reporting results.
  • Tuned precision-recall thresholds to optimize detection performance (97% precision, 96% recall) for security-critical decision boundaries.

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

Internship Performance Rating

Internship performance rated “Excellent” at Engineers India Limited.

About Details

Professional Bio

B.Tech student in Computer Science and Artificial Intelligence with experience in full-stack development and machine learning. Skilled in React, Python, SQL, and system integration.

B.Tech (CSAI)

Netaji Subhas University of Technology (2022 - 2026)

Class XII (CBSE)

Sarvodaya Bal Vidyalaya, Delhi ( - 2022)

Class X (CBSE)

Oxford Sr. Sec. School, Delhi ( - 2020)

Languages: English, Hindi
Email: Locked