Ankit Meerwal
@mrankitmeerwal
I’m an ML and data engineering focused IT professional building ETL pipelines and AI-powered web apps.
What I'm looking for
I’m a B.Tech (Information Technology) student at NIT Jalandhar (2022–2026) who loves turning messy data into reliable systems. I focus on ETL, feature engineering, and building production-minded backends that integrate LLMs with strong guarantees.
In a certificate role at FN MathLogic (Jul 2025 – Sep 2025), I built a two-stage decoupled ETL pipeline that parallelized scraping and isolated ingestion failures from downstream analytics. I also resolved entity alignment across 2,100+ NSE-listed equities using fuzzy matching, and enriched data with live PE ratios and market cap via the yfinance API.
My projects reflect how I like to ship end-to-end: I architected an AI-Based Meeting Task Extraction Platform with an event-driven FastAPI → Redis → Celery → PostgreSQL backend, using Gemini 2.5 Flash asynchronously. I enforced deterministic typed JSON outputs by binding responses to a Pydantic model, and built a React + TypeScript dashboard with real-time polling for task CRUD.
I also built a Loan Default Prediction Engine (Nov 2024 – Jun 2025) using a modular 4-stage ML pipeline over 200,000+ transaction profiles. From repayment/deferment and credit inquiry histories, I engineered 50+ behavioral features, applied targeted imputation without leakage, and tuned a Random Forest classifier achieving ROC AUC 0.75+ on held-out validation data.
Experience
Work history, roles, and key accomplishments
Architected an event-driven backend for AI meeting task extraction using FastAPI, Redis, Celery, and PostgreSQL. Ensured deterministic typed LLM output with a Gemini response schema bound to a Pydantic model and built a React dashboard with polling for real-time task CRUD.
Certificate
FN MathLogic
Jul 2025 - Sep 2025 (2 months)
Built a two-stage decoupled ETL pipeline that parallelized scraping of fund portfolios and benchmark indices, isolating ingestion failures from downstream analytics. Standardized NSE-listed equity entities using fuzzy matching and enriched records with PE ratios and market cap via yfinance API.
Built a modular ML pipeline to ingest, engineer, train, and validate loan transaction data from heterogeneous JSON and CSV sources. Engineered behavioral features, applied targeted imputation, and trained a Random Forest classifier achieving ROC AUC 0.75+ on held-out validation data.
Head: Media Cell (IOTA)
NIT Jalandhar
Aug 2024 - Present (1 year 11 months)
Led a team of 35 to plan and execute HACKMOL 6.0, a 36-hour national-level hackathon at NIT Jalandhar.
Overall Coordinator - Regional Activity Club
NIT Jalandhar
Jun 2023 - Present (3 years 1 month)
Organized cultural events, coordinated with faculty, and managed a team of 30+ members across multiple college-level activities.
Education
Degrees, certifications, and relevant coursework
NIT Jalandhar
Bachelor of Technology, Information Technology
2022 - 2026
Activities and societies: Coursework: DBMS, Machine Learning, Data Mining, Computer Networks, OOPs, Operating Systems, Data Analytics, Cryptography, Cyber Forensics. Certifications: Advanced SQL for Data Analysis (HackerRank, Mar 2025); IOTA Core Member (NIT Jalandhar, Aug 2024).
Pursuing a B.Tech in Information Technology at NIT Jalandhar from 2022 to 2026. Completed coursework including DBMS, Machine Learning, Data Mining, Computer Networks, and OOPs, and earned an IOTA Core Member certificate (Aug 2024).
Madhu Public School
Senior Secondary, Senior Secondary (RBSE)
2020 - 2022
Completed Senior Secondary education at Madhu Public School (RBSE) from 2020 to 2022.
Availability
Location
Authorized to work in
Salary expectations
Job categories
Skills
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