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  • Sunidhi Securities and Finance Ltd
  • India
  • LinkedIn in/spgajjar

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Shyamal1597/README.md

Shyamal Gajjar

AI engineer for capital markets. I build production multi-agent & RAG systems and real-time financial-intelligence platforms for regulated environments. Mechanical engineer by training, markets by obsession — I ship the software and understand how the businesses and instruments it models actually work.

📍 Mumbai, India  ·  🔗 LinkedIn  ·  ✉️ shyamalfcb@gmail.com


What I build

  • Financial document intelligence — LLM pipelines that read filings & earnings transcripts and produce auditable, hallucination-resistant output. Core principle: a deterministic compute layer owns every number; the LLM writes narrative only.
  • Research-automation platforms — internal, Bloomberg-style tooling that collapses manual analyst workflows (data gathering, monitoring, reporting) into live single-pane systems.
  • Regulated-environment engineering — SEBI-context products with a real security posture (auth, field-level encryption, VAPT remediation).

Featured work

Project What it is
market-intelligence-platform 15-module internal research terminal — live market data, NSE/BSE filings, derivatives Greeks, RAG report search, and a 5-stage LLM management-guidance tracker that verifies whether management delivered what they promised. Next.js 16 · TypeScript · 25k+ LOC.
AISA (in development) Document-intelligence platform for SEBI-registered research analysts. Deterministic-signal engine + LLM-narrative-only generation + hard publication gates — it withholds a rating rather than ship an unsupported one.
nse-equity-dashboard Native Windows desktop app — live prices, alerts, one-click Word report generation. Cuts a 60-min daily analyst workflow to ~15. PySide6 · yfinance · Nuitka · 113 tests.
wealth-ops-platform Full-stack corporate + client platform for a SEBI-registered broker. Next.js · JWT/OTP auth · field-level encryption · VAPT-audited.

Toolbox

Python · TypeScript · Next.js / React · LLM pipelines & RAG (hybrid BM25 + vector) · finance-domain embeddings · Claude / Ollama · SQLite · PySide6 · NSE / BSE & Bloomberg data · security-first API design

Background

MSc Advanced Mechanical Engineering — Heriot-Watt University, UK  ·  B.Tech Mechanical, First Class Honours — Ahmedabad University  ·  CFA Level 1 candidate (Feb 2027)  ·  currently building research-automation & AI infrastructure at a SEBI-regulated brokerage.


Open to conversations on financial-intelligence engineering, applied AI for research, and capital-markets data infrastructure.

Popular repositories Loading

  1. market-intelligence-platform market-intelligence-platform Public

    Internal financial research intelligence platform — Next.js 16, TypeScript, Bloomberg-inspired UI

    TypeScript

  2. wealth-ops-platform wealth-ops-platform Public

    Production-deployed full-stack corporate website for SEBI-registered broker Sunidhi Securities. Next.js 15, TypeScript, JWT auth (3 token types), dual-channel OTP, VAPT-audited, file-backed session…

    TypeScript

  3. nse-equity-dashboard nse-equity-dashboard Public

    Native Windows desktop app for NSE equity analysts — live prices, alerts, and one-click Word report generation. PySide6 + yfinance + Nuitka.

    Python

  4. Shyamal1597 Shyamal1597 Public

  5. the-listening-room the-listening-room Public

    HTML