Reconstruction of arithmetic circuits has been heavily studied in the past few years and has connections to proving lower bounds and deterministic identity testing. In this paper we present a polynomial time randomized algorithm for reconstructing $ΣΠΣ(2)$ circuits over $\mathbb{F}$ ($char(\mathbb{F})=0$), i.e. depth$-3$ circuits with fan-in $2$ at the top addition gate and having coefficients from a field of characteristic $0$. The algorithm needs only a blackbox query access to the polynomial $f \in \mathbb{F}[x_1,\ldots, x_n]$ of degree $d$, computable by a $ΣΠΣ(2)$ circuit $C$. In addition, we assume that "simple rank" of this polynomial (essential number of variables after removing gcd of the two multiplication gates) is bigger than a constant. Our algorithm runs in time $poly(n, d)$ and returns an equivalent $ΣΠΣ(2)$ circuit(with high probability). The problem of reconstructing $ΣΠΣ(2)$ circuits over finite fields was first proposed by Shpilka in [24]. The generalization to $ΣΠΣ(k)$ circuits, $k = O(1)$ (over finite fields) was addressed by Karnin and Shpilka in [15]. The techniques in these previous involve iterating over all objects of certain kinds over the ambient field and thus running time depends on size of the field $\mathbb{F}$. Their reconstruction algorithm uses lower bounds on the lengths of Linear Locally Decodable Codes with $2$ queries. In our settings, such ideas immediately pose a problem and we need new ideas to handle the case of the characteristic $0$ field $\mathbb{F}$. Our main techniques are based on the use of Quantitative Syslvester Gallai Theorems from the work of Barak et.al. [3] to find a small collection of subspaces to project onto. The heart of our paper lies in subtle applications of Quantitative Sylvester Gallai theorems to prove why projections w.r.t. these subspaces can be glued.