Abhishek Vishwakarma

Clover Infotech Pvt Ltd

• Engineered an automated compliance alert engine and real-time dashboard tracking NISM broker certifications, eliminating compliance lapses and preventing direct revenue leakage across retail broking divisions.
• Acted as onsite technical on-site lead for tier-1 banking clients; managed cross-functional coordination across QA, core banking backend teams, and business units to migrate legacy customer web portals with zero deployment downtime.
• Audited and optimized critical end-user journeys across core financial products (Credit/Debit Card workflows, Remittance, Forex, Gold Loan Renewal), increasing transaction success rates and reducing dropped funnel drop-offs.
• Directed UAT and staging release cycles for client-facing SME banking portals; diagnosed production integration bottlenecks to guarantee 99.9% workflow stability.
• Conducted 40+ technical interviews (Data Structures, System Design, and Machine Coding) for institutional engineering recruitment drives.

Nerve Solutions

• Developed and maintained a futures and options trading platform for India’s largest finance bank
• Efficiently collaborated and delivered quality code in 2 different projects simultaneously maintaining clean code
• Independently Researched, implemented and tested client-side requirements of communication bridge for Flutter and Nodejs improving clients team productivity by 50%, resulting in a streamlined workflow for new feature integration of Clever Tap to get better insights of end-users’ actions, demonstrating strong initiative.
• Proactively Adapted, Optimized option chain to reduce app load time achieving 40% increase in overall app performance
• Deployed releases to UAT meeting customer design requirements and met tight project deadlines consistently through effective time management, ensuring on-time delivery and client satisfaction

K. J. Somaiya College (Affiliated with University of Mumbai)

CGPA: 9.52 / 10 (Distinction / A+)

S. K. Somaiya College, Vidyavihar

Percentage: 77.08%

AI Assisted Financial Agent

• Engineered an autonomous AI financial decision agent that evaluates purchase and payment requests against reconstructed personal financial profiles, recurring cash flows, dated FX rates, seller payment terms, and multimodal evidence (receipts, invoices, chat logs).
• Built a conservative 90-day cash balance simulation and ranking engine selecting safe payment strategies (full_payment, partial_payment, installments, wait, or not_recommended) that shield non-negotiable living expenses and enforce minimum balance thresholds.
• Architected multimodal evidence extraction with regex message parsing, spend-reduction plan optimization, and a deterministic contract verifier, achieving 100% benchmark evaluation accuracy with ultra-low latency execution (~0.72s across 250 requests).

Tech Stack: Python, Multimodal Evidence Extraction, Financial Cash-Flow Modeling & Forecasting, Decision Systems, Regex NLP