Harshit Sharma — Associate Consultant
Software Engineer specializing in data engineering, quantitative analytics, and risk modelling. Pursued a B.Tech in Computer Science and Engineering from the IIT (ISM), Dhanbad (Class of 2024) At the Unique Identification Authority of India (UIDAI), I’ve been building and scaling data-intensive national scale systems that power analytical and operational intelligence across petabyte-scale datasets: - Designed a PySpark-based multivariate risk engine processing 10M+ packets/day, achieving 90%+ anomaly detection precision and reducing fraud losses - Built Python and Spark based services and deployed Frameworks, databases, tools on Kubernetes - Developed predictive analytics pipelines with stage-wise SLA breach prevention, employing Gradient Boosting Models (GBM) on GCP for proactive risk detection - Core tech stack includes: Python, Spark, SQL, Trino, Kafka, Airflow, Kubernetes, ClickHouse, Cassandra, Hive, Iceberg, S3, Redis Earlier at Axis Bank, I worked on multiple loan risk model migrations from SAS to PySpark.. Beyond work, I explore quantitative research and financial modeling, developing cross-asset trading strategies, multithreaded market data aggregation systems in C++, and statistical alpha models. I’ve applied techniques from Monte Carlo simulation, CAPM, and option pricing (Black-Scholes) to evaluate portfolio performance and risk-adjusted returns. I’m passionate about the intersection of data systems, quantitative modeling, and intelligent risk analytics, leveraging computation, mathematics, and data to power better financial and real-world decision-making.
Stackforce AI infers this person is a Fintech and Agritech expert specializing in data engineering and quantitative analytics.
Location: Bengaluru, Karnataka, India
Experience: 5 yrs
Skills
- Quantitative Finance
- Data Engineering
- Risk Modeling
- Machine Learning
- Financial Modeling
- Robotics
Career Highlights
- Engineered a real-time risk engine processing 10M+ packets/day.
- Architected a central lakehouse reducing BI query latency to under 5 minutes.
- Migrated credit-risk models achieving 93% model parity.
Work Experience
WorldQuant
Quantitative Research Consultant (1 yr 2 mos)
Unique Identification Authority of India (UIDAI)
Software Engineer (1 yr 11 mos)
Active Growth Partners
Data Science and Software Developer (2 mos)
Axis Bank
Data Engineer (2 mos)
Indian Institute of Technology (Indian School of Mines), Dhanbad
Contingent Leader, Inter-IIT Tech Meet 11.0 (2 mos)
NVCTI
Product Development Intern (1 yr 2 mos)
RoboISM - Robotics and Artificial Intelligence Club
Coordinator (3 yrs 1 mo)
Education
Bachelor of Technology - BTech at Indian Institute of Technology (Indian School of Mines), Dhanbad
Minor at Indian Institute of Technology (Indian School of Mines), Dhanbad
High School/Secondary Certificate Programs at Maa Bharti sen sec school SVN kota
IGCSE O Levels at Mayoor School, Ajmer
