Incoming FX Quant Strats Intern
June 2027 – August 2027
Looking forward to working at the intersection of quantitative analysis and technology, with a focus on financial modelling, risk analytics and P&L analysis.
Hi! I'm
Param Tanna
Incoming FX Quant Strats Intern @ Barclays
CS Undergrad at Indian Institute of Technology (IIT) Gandhinagar
About Me
A bit about me, and where I've been so far.
I’ve always been obsessed with how things work under the hood, from core systems architecture and game theory to the mechanics of financial markets. My focus is to use tech as leverage to tear down complex, real-world friction and replace it with execution. I live to build.
Off the keyboard, you’ll usually find me at the gym, investing and trading the markets, or putting my thoughts out online.
Experience
Where I've studied and worked so far.
Software Developer
(Freelance Contract)
July 2026 – Present
Working with a brokerage clearing $2M+ in monthly trades to replace a manual back office with an automated operations pipeline, using AI for document handling and reconciliation — groundwork for something other businesses could use.
B.Tech, Computer Science and Engineering
Indian Institute of Technology (IIT) Gandhinagar · 2024 – 2028
- CPI
- 9.14 / 10
- Honours
- Dean’s List, Semester II · AY 2025–26
- Key focus areas
- Applied ML · Game theory · Product Engineering · Low-Level Systems · Algorithms & Performance
Projects
Things I’ve built.
Hybrid Database Framework
Metadata-driven field placement across PostgreSQL and MongoDB, routed on access frequency, nesting depth and type stability. Two phase commit with rollback on cross-backend writes, verified by fault injection. 94% of insert latency traced to per-call client teardown. Pooling cut it 4.6x.
Project Link
Learned Bloom Filters
Standard, learned, sandwiched and partitioned filters benchmarked on a 73K URL blocklist, oracle size charged to budget. A 4KB logistic regression beats a 122KB XGBoost on net. Water-filling allocation across score bands cut memory 57.7% at 1% FPR, zero false negatives. Random-key ablation collapsed AUC to 0.54 and inverted the gain.
Project Link
Cart Conversion Prediction Engine
Session-level purchase intent over 2.76M clickstream events, sessionised on 30 minute inactivity. Caught a feature-aggregation leak inflating ROC AUC to 0.99, re-scoped to a pre-purchase window with visitor-grouped CV folds. PR AUC 0.49 against a heavily imbalanced base rate.
Project LinkNews
What I’ve been up to.
Ranked 857 among 32,000+ teams nationwide at the Amazon ML Challenge 2026, with three teammates.
Received the Dean’s List Award for the highest SPI in the Computer Science and Engineering batch. photo
Selected for the summer internship at Barclays, on Day 0 of IITGN’s internship cycle.
Shortlisted for Amazon ML Summer School ’26.
Signed a freelance contract with DRL Brokerage to build a custom solution for brokerage operations.
Selected as a Barclays BIIC mentee. Finished in the top 5 and presented my case study to the Managing Director of Barclays India.
PORs
Positions of responsibility.
Senator (Aug ’24 – Apr ’25)
Elected to represent a cohort of 350+ peers.
Mess Council (Aug ’25 – Feb ’26)
Oversee mess operations for everyone on campus.
Student Guide (Aug ’25 – Present)
Mentored 20+ students, now in a second term.
Public Relations Team (Aug ’24 – Apr ’25)
Blithchron, the cultural fest of IIT Gandhinagar.
