Consultant · Agentforce/Salesforce · Genpact
Namaste 🙏 — I'm a Salesforce Developer with 1.5 years of experience, focused on combining Agentforce, Einstein AI, Prompt Builder, Apex and Flow into intelligent automation, especially where messy raw input like emails and documents needs to become structured, decision-ready data. Recent work: an AI-powered Email-to-Case solution that reads incoming email + attachments, classifies intent, and turns it into enriched, routed Salesforce cases — with far less manual touch.
01 · Background
National Institute of Technology, Puducherry
B.Tech, Computer Science & Engineering
Focused on Computer Science fundamentals — DSA, DBMS, Operating Systems and core ML/DL coursework — with hands-on projects applying classification models and neural networks to real datasets.
Jawahar Navodaya Vidyalaya (JNV)Matriculation (2018) & Intermediate — PCM (2020), CBSE
Dakshana Foundation - Avanti Fellows Scholar (2018) with a two-year full JEE(2020) scholarship, and Got 18th rank in Bihar & 1st Rank in Supaul District in NTSE Stage 1 (2017–18).
02 · Toolkit
03 · Credentials
Core admin: data modelling, automation, security and sharing.
Designing and configuring Agentforce agents, topics and actions.
Recognised in Salesforce's Agentblazer community program.
Sustained learning across Trails, Superbadges and Projects.
04 · Path
Click a stage to know more.
Consultant (4A) — Agentforce/Salesforce, Genpact India Pvt. Ltd.
Working across Salesforce implementation, platform automation and AI-driven case processing, combining Agentforce, Prompt Builder, Apex and Flow into intelligent, low-touch workflows.
AI-assisted order resolution on Salesforce, currently in progress.
Designed a next-generation AI-driven claims intake and processing system using Agentforce, Prompt Builder, Apex and Flow, turning a manual workflow into intelligent, low-touch automation.
Enterprise Salesforce implementation for a live BFSI Service Cloud environment, focused on platform stability, testing quality and admin-level automation.
Predictive flood mapping using QGIS and an ANN cross-entropy model, with hands-on geospatial data analysis and flood-mitigation strategy work in Excel.
Designed and built the CCMR website for AIIMS Bhubaneswar using HTML, CSS and JavaScript.
Part of a 3-member team planning and executing placement operations for 200+ B.Tech students — management, communication and stakeholder coordination.
Taught Physics & Chemistry and organised study material, notes and mock tests for JEE/NEET aspirants from underprivileged government schools.
05 · Featured work
The core pattern behind the Knauf claims work — Agentforce and Einstein AI read unstructured email, Apex and Flow turn it into a structured, routed Salesforce case.
06 · Personal work
Multi-class deep learning classification of papaya fruit diseases, extending the Phase 1 work into a full DL pipeline. B.Tech final year project (Phase 2), guided by Dr. P. Kumaran (Assistant Professor, CSE, NIT Puducherry). Team: Ujjwal Kumar, Abhishek Tirkey & Vivek Kumar.
Binary classification of papaya fruit diseases with dataset augmentation and comparison across segmentation techniques and classifiers, deployed via Streamlit. B.Tech final year project (Phase 1),
Trains on an image dataset to recognise faces and auto-generates a dated CSV log of name and reporting time for each student.
Desktop app that shortens long URLs into easy-to-remember links.
Desktop music player — pick a favourite track from your device and control playback and volume.
Look up any Indian postal code and see the associated details plotted on a map.
07 · Recognition
Selected for the Dakshana–Avanti Scholarship Program for JEE 2020 — a two-year full scholarship covering IIT-JEE coaching and hostel facilities.
18th rank in Bihar & & 1st Rank in Supaul District in the National Talent Search Examination (State Level), conducted by NCERT.
Qualified twice for PRMO in the NVS (Navodaya Vidyalaya Samiti) region, conducted by the Homi Bhabha Centre for Science Education.