Jaskirat Singh

CTO

Chandigarh, Chandigarh, India1 yr 10 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Led AI initiatives at SuperLiving.
Developed innovative credit risk models.
Presented mathematical research at conferences.

Stackforce AI infers this person is a Fintech and AI specialist with a strong engineering background.

Contact

jaskirat@superlivingapp.com LinkedIn

Skills

Core Skills

Credit Risk AnalysisAi DevelopmentEngineering

Other Skills

Retrieval-Augmented GenerationLarge Language ModelsMonte Carlo SimulationStress TestingProject FinanceRisk EvaluationCredit Risk MonitoringGenerative AIExpected Credit Loss AnalysisOptimization AlgorithmsChemical Sensing Technology

About

Hi, I’m Jaskirat — a Mathematics & Scientific Computing graduate from IIT Kanpur who accidentally wandered into the world of finance, AI, and mathematical logic (and ended up loving it here). I enjoy solving problems at the intersection of math, tech, and logic — whether it’s building credit risk models using Monte Carlo simulations or developing private GPT solutions that let you chat with your documents instead of wrestling with Ctrl+F. During college, I dabbled in everything from helicopter optimization at an aerospace startup to freelancing for an AI startup, exploring areas like taxonomy design, Retrieval-Augmented Generation (RAG), and prompt engineering. I’ve presented my mathematical research at conferences, won a few awards, and once scored AIR 651 in JEE Advanced — though I’m still more proud of teaching school students at Shiksha Sopan under the guidance of Prof. H.C. Verma (yes, having conversations with him was a dream come true). Currently, I’m working in the risk modeling team at a bank — but I'm always curious about what’s next in the world of AI, finance, or education. If you enjoy talking about large language models, non-monotonic logic, or how amazing 3Blue1Brown videos are — let’s connect.

Experience

1 yr 10 mos

Total Experience

1 yr 4 mos

Average Tenure

6 mos

Current Experience

Superliving

AI Head

Nov 2025 – Present · 6 mos

Leading the AI charter and creating India’s first full stack AI companions for Lifestyle.

Standard chartered bank

2 roles

Analyst

Promoted

Jul 2024 – Nov 2025 · 1 yr 4 mos · Bengaluru · On-site

1) Chatbot using RAG & LLMs:
Developed a Retrieval-Augmented Generation (RAG) based chatbot using large language models to streamline internal document search. The chatbot enables teams to upload and query documents like contract agreements and technical documents, eliminating the need for manual keyword searches.
2) Stress Testing Credit Risk under Macroeconomic Scenarios:
Built Monte Carlo simulation models to analyze how credit risk metrics behave under various macroeconomic stress scenarios. The analysis focused on understanding non-linear impacts on Expected Credit Loss (ECL) and contributed to key insights in the bank’s annual disclosures.
3) Project Finance:
Worked on assessing the creditworthiness of the bank's project finance portfolio by analyzing projected cash flows and evaluating risk grades of borrowers. Also contributed to refining model parameters (MEV) used in risk evaluations.
4) Monitoring Credit Risk Deterioration:
Supported the ongoing tracking of clients flagged for significant increase in credit risk (Stage 2). Monitored changes in credit exposure (EAD), analyzed migration between credit stages, and contributed to lifetime ECL calculations for early warning and provisioning.

Retrieval-Augmented GenerationLarge Language ModelsMonte Carlo SimulationCredit Risk AnalysisStress TestingProject Finance+1

Risk Analyst

May 2023 – Jul 2023 · 2 mos · Bengaluru, Karnataka, India · On-site

Project 1: Generative AI – Private LLM Development
Worked on building local Large Language Models (LLMs) on private infrastructure to ensure complete data confidentiality. The solution enabled the use of generative AI capabilities without exposing sensitive data to external servers, aligning with privacy and compliance requirements
Project 2: Analysis of Expected Credit Loss (ECL)
Applied stress testing methodologies on macroeconomic variables to assess their impact on Expected Credit Loss across various bank portfolios. The analysis supported risk management and capital planning by quantifying potential credit deterioration under adverse economic scenarios..

Generative AILarge Language ModelsStress TestingExpected Credit Loss AnalysisAI DevelopmentCredit Risk Analysis

Paninian

Computational Engineer

Jan 2022 – Jun 2022 · 5 mos · Pune, Maharashtra, India · Hybrid

Project 1: Power Loading Optimization
Implemented and compared multiple optimization algorithms to maximize power loading efficiency of a helicopter, while adhering to rotor blade performance and structural constraints. The project aimed at improving flight performance under complex engineering limitations.
Project 2: ODOR – Chemical Sensing Device
Collaborated in a multidisciplinary team to design and prototype ODOR, a chemical-sensing device using olfactory receptor technology. The device was envisioned for applications in testing laboratories and space stations, where real-time chemical detection is critical.

Optimization AlgorithmsChemical Sensing TechnologyEngineering