- Automated personalized outreach at scale with template rotation and delays
- CSV-driven contacts with duplicate-send prevention and auto PDF attachment
- Web dashboard with logging; deployed on PythonAnywhere
AI/ML @ CheQ · IIT Delhi '25 · Conversational AI for Fintech
Aditya Raj Pandey
Software Engineer·AI / ML
I build production-grade LLM and applied-NLP systems — from in-house entity recognition to retrieval-augmented assistants — and ship them end-to-end into fintech pipelines.
Engineer at the intersection of LLMs, NLP, and product.
I'm a Software Engineer (AI/ML) at CheQ, building conversational AI and applied-NLP systems for fintech. After a B.Tech in Engineering Physics at IIT Delhi, I've focused on taking models from prototype to production — owning evaluation, compliance, and deployment, not just notebooks.
My core work spans information extraction, text classification, and LLM-powered systems in regulated, production environments. I like learning by building, asking a lot of questions, and the kind of thoughtful conversation that's usually about tech, philosophy, or a really good film.
- EnglishFull Professional
- HindiNative / Bilingual
- FrenchElementary
From prototype to production.
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Software Engineer — AI/ML
CheQ · Bengaluru
Full-time Nov 2025 — PresentProgressed from AI/ML Intern (Sep–Nov 2025). Building CheQWisor, an LLM-powered assistant for credit insights and user intelligence.
Merchant Entity Recognition (in-house NER)
- Led end-to-end development of an in-house Merchant NER, removing third-party vendor dependency in a regulated domain.
- Benchmarked SpaCy, GLiNER and FinBERT; productionized FinBERT with evaluation and compliance validation.
- Migrated label schema BIO → BILO and scaled data, lifting coverage from 93% → 99% at 97% F1.
LLM Sentiment & Issue Classification
- Scoped the problem with Product — defining taxonomy and ownership through cross-functional collaboration.
- Designed prompt-based sentiment & issue classification with iterative prompt-engineering refinement.
- Shipped user-sentiment intelligence via alerts and logging, enabling data-driven product decisions.
Chatbot Web Retrieval (domain-specific crawling)
- Ran a POC evaluating Firecrawl, Exa, Vertex AI and Crawl4AI for chatbot web-search integration.
- Analysed 3 months of chatbot queries and curated a 50-query golden dataset across all query types.
- Built a weekly crawl → LLM-summarization → vector-DB embedding pipeline for retrieval.
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AI Data Trainer
Remotasks · New Delhi
Internship Dec 2023 — Jan 2024- Rated AI model outputs and crafted ideal responses using coding skills to improve accuracy and relevance.
- Developed and rated coding prompts, providing optimal solutions to improve model performance (~30 hrs/week).
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Operations Manager
Bharat Skool · New Delhi
Internship May — Jul 2023- Worked with the founder on YouTube content strategy to boost educational outreach.
- Managed a team of IIT-JEE mentors and led marketing & sales efforts to grow the user base.
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Subject Matter Expert
Snipe · New Delhi
Internship Dec 2022 — Apr 2023- Curated educational content with a 5-person quality-control team.
- Produced 40+ hours of structured, comprehensive lecture videos within one month.
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IIT-JEE Mentor
Exphub · New Delhi
Internship Jul — Aug 2022- Mentored aspirants and supported structured exam preparation.
Things I've designed, built and shipped.
- Converts plain-English questions into executable PostgreSQL instantly
- Layered Redis cache → ChromaDB schema retrieval → LLM generation
- Semantic caching cut repeat-query latency; React dashboard
- Unsupervised anomaly detection across 370k+ sensor readings, 3 years
- Tuned DBSCAN via k-distance & silhouette scores
- Surfaced pressure/temperature anomalies and localized process deviations
- ETL pipeline scraping 3000+ movies from the-numbers.com
- Parallelized with ThreadPoolExecutor for faster throughput
- Cleaned, transformed, enriched with TMDB metadata into CSV
A full-stack AI toolkit.
Languages & Core
Machine Learning & GenAI
Data & Backend
Tools & Platforms
Ways of Working
Foundations.
B.Tech, Engineering Physics
Nov 2021 — May 2025Indian Institute of Technology, Delhi
Engineering Physics with a steady pull toward computation, data and machine learning — the bridge into building AI systems professionally.
Transformer Models & BERT
Google Cloud
Beyond the codebase.
Positions of Responsibility
Event Coordinator — Physics Society (CAIC)
- Ran Intern Insights for freshers, fostering community and knowledge sharing.
- Led the Simulation Challenge and organised Professor–Student Meetups.
Logistics Coordinator — Rendezvous IITD
- Streamlined logistics for Comedy Hunt, Qawwali Night & SPIC MACAY.
- Commanded a 10-person team across stationery to tech-equipment needs.
Event Executive — TRYST
- Secured sponsorships from Quickheal & Neovel through pitching.
- Ran 6 events with CXO-level collaboration; 700+ registrations.
Infrastructure Executive — Rendezvous IITD
- Coordinated stalls for Techno, Beardo, Havells & Swiss Beauty.
- Curated live performances with 100+ artists; streamlined pronite food stalls.
Marketing Executive — Hindi Samiti
- Marketed the MUN debate, reaching 500+ debaters across 20+ colleges.
Publicity Executive — Physics Society (CAIC)
- Drove publicity and engagement across the society's events.
Hospitality Executive — Indradhanu
- Ran hospitality for 6 events over 3 days at VIBHINN, a queer-collective conference.
Writer / Actor / Assistant — Ankahi
- 2nd place in an inter-hostel short-filmmaking competition; 15-person team, 10-day build.
Actor — Ankahi
- Co-wrote, acted in and produced a 1971-war stage play for an audience of 1000, in 7 days.
Let's build something.
Open to roles in AI / ML, GenAI and software engineering. The fastest way to reach me is email.